# BrainAccess --- ## Products - [BrainAccess Extended+ Kit](https://www.brainaccess.ai/products/brainaccess-extended-kit-plus/): BrainAccess Extended+ Kit maintains the same form factor as Extended Kit but offers higher density coverage. It features a 32-channel... - [BrainAccess Extended Kit](https://www.brainaccess.ai/products/brainaccess-extended-kit/): 16-channel electroencephalograph bluetooth device, which is mounted at the back of BrainAccess CAP. Versatile and extremely portable EEG solution. - [BrainAccess Standard Kit](https://www.brainaccess.ai/products/brainaccess-standard-kit/): BrainAccess Standard Kit is a versatile and extremely portable EEG solution that is ideal for low-density EEG measurements or measurements... - [BrainAccess HALO](https://www.brainaccess.ai/products/brainaccess-halo/): Wireless, portable EEG headband with 4 channel acquisition system. It is equipped with dry contact electrodes positioned over the forehead and occipital regions --- ## Pages - [BrainAccess Mobile App](https://www.brainaccess.ai/software/brainaccess-mobile-app/): BrainAccess Mobile App The BrainAccess Mobile App is an application for Android devices that can be used to collect data... - [Brain Fingerprinting](https://www.brainaccess.ai/brain-fingerprinting/): Brain Fingerprinting Brain fingerprinting is a lie detection technique based on EEG measurements. Strictly speaking, it is a guilty knowledge... - [Starting up with BrainAccess Board](https://www.brainaccess.ai/tutorials/starting-up-with-brainaccess-board/): Starting up with BrainAccess Board This introductory tutorial demonstrates how to connect and stream data from BrainAccess devices using BrainAccess... - [EEG Signal (re)Reference](https://www.brainaccess.ai/tutorials/eeg-signal-rereference/): EEG Signal (re)Reference EEG signal is measured as a potential difference between two electrodes placed on a person’s scalp. Typically... - [EEG Signal Quality](https://www.brainaccess.ai/tutorials/eeg-signal-quality/): EEG Signal Quality There are many parameters of the EEG measurement system that affect the recorded EEG signal quality. While... - [Lab Streaming Layer](https://www.brainaccess.ai/tutorials/lab-streaming-layer/): Lab Streaming Layer The Lab Streaming Layer (LSL) is a system designed specifically for the unified collection of time-series data... - [BrainAccess MAXI](https://www.brainaccess.ai/hardware/brainaccess-maxi/): BrainAccess MAXI BrainAccess MAXI is a 32-channel electroencephalograph with a common reference channel. It has the same form factor and... - [Software](https://www.brainaccess.ai/software/): Software BrainAccess software allows interfacing with BrainAccess devices, offers an infrastructure for setting up EEG, BCI, and other experiments, and... - [BrainAccess CAP](https://www.brainaccess.ai/hardware/brainaccess-cap/): BrainAccess CAP The BrainAccess CAP is a versatile EEG cap that is available in different sizes and comes with dry-contact,... - [BrainAccess Board](https://www.brainaccess.ai/software/brainaccess-board/): BrainAccess Board The BrainAccess Board software is an application that can be used to interface with BrainAccess devices and undertake... - [BrainAccess SDK](https://www.brainaccess.ai/software/brainaccess-sdk/): BrainAccess SDK BrainAccess SDK is a collection of libraries for controlling the devices, streaming, and preprocessing EEG data. The libraries... - [Methods of Brain Activity Measurements](https://www.brainaccess.ai/methods-of-brain-activity-measurements/): Methods of Brain Activity Measurements There are many methods for measuring brain activity. Each method differs in its invasiveness, time... - [Tutorials](https://www.brainaccess.ai/tutorials/): Tutorials Introduction to EEG Methods of Brain Activity Measurements EEG (Electroencephalography) BCI (Brain-Computer Interface) Brain Fingerprinting Hyperscanning BrainAccess Setup BrainAccess... - [EEG (Electroencephalography)](https://www.brainaccess.ai/eeg-electroencephalography/): EEG (Electroencephalography) EEG is a non-invasive technique for measuring the electrical activity of the brain. It is measured as a... - [BCI (Brain-Computer Interface)](https://www.brainaccess.ai/bci-brain-computer-interface/): BCI (Brain-Computer Interface) Brain-computer interface (BCI) is a communication link between a human’s brain and an external device. EEG measurements... - [Hyperscanning](https://www.brainaccess.ai/hyperscanning/): Hyperscanning Hyperscanning is a neuroimaging technique that involves simultaneously recording brain activity from multiple individuals engaged in social interactions or... - [BrainAccess Standard Kit Setup](https://www.brainaccess.ai/brainaccess-standard-kit-setup/): BrainAccess Standard Kit Setup BrainAccess CAP has smaller and larger holes. Smaller holes should be used for electrode attachment to... - [BrainAccess HALO Setup](https://www.brainaccess.ai/tutorials/brainaccess-halo-setup/): BrainAccess HALO Setup This tutorial goes through the steps required to correctly setup BrainAccess HALO EEG headband for measurements. See... - [BrainAccess HALO](https://www.brainaccess.ai/hardware/brainaccess-halo/): BrainAccess HALO The BrainAccess HALO is a fully integrated EEG headband featuring dry contact electrodes and Bluetooth connectivity. It is... - [BrainAccess MINI](https://www.brainaccess.ai/hardware/brainaccess-mini/): BrainAccess MINI The BrainAccess MINI is an 8-channel electroencephalograph with a common reference channel. Its compact size, Bluetooth connectivity, and... - [BrainAccess MIDI](https://www.brainaccess.ai/hardware/brainaccess-midi/): BrainAccess MIDI BrainAccess MIDI is a 16-channel electroencephalograph with a common reference channel. It is more powerful than MINI with... - [Home new](https://www.brainaccess.ai/): AI enabled electroencephalography (EEG) and Brain-computer interface (BCI) solutions, human-machine interface applications. Connect Your brain to the computer! - [BCI Technologies](https://www.brainaccess.ai/bci-technologies/): Brain-computer interface - link between a human's brain and a device. Applications range from lost motor functions replacement to mind controlled computer games - [Hardware](https://www.brainaccess.ai/hardware/): Hardware BrainAccess EEG hardware is exclusively based on dry-contact electrodes. The electrodes have been developed to be optimal in terms... - [Downloads](https://www.brainaccess.ai/download/): Download centre Software BrainAccess Board 2. 5. 0 Download Download BrainAccess SDK 3. 5. 0 Download Download BrainAccess Mobile App... - [About us](https://www.brainaccess.ai/about-us/): About us BrainAccess products are developed by Neurotechnology Having a huge experience in AI and deep neural networks Neurotechnology decided... - [Thank you](https://www.brainaccess.ai/thank-you/): Thank you Thank you for your message. We will get back to in 1-2 business days! - [Privacy policy](https://www.brainaccess.ai/privacy-policy/): Privacy policy At Neurotechnology UAB (company code: 120441850, address: Laisvės pr. 125A, Vilnius, Lithuania, email: brainaccess@neurotechnology. com) and its affiliated... - [Technology](https://www.brainaccess.ai/technology/): Brain-computer interface - link between a human's brain and a device. Applications range from lost motor functions replacement to mind controlled computer games - [Terms of Use](https://www.brainaccess.ai/terms-of-use/): Terms & Conditions 1. Acceptance of Terms By using any part of the brainaccess. ai Website or purchasing our products,... - [Contact us](https://www.brainaccess.ai/contact-us/): Contact Us Neurotechnology +370 5 277 3315 brainaccess@neurotechnology. com Head office Laisves av. 125A, Vilnius, LT-06118, Lithuania Send us a... - [Resources](https://www.brainaccess.ai/resource/): Resources Tutorials Introduction to EEG Methods of Brain Activity Measurements EEG (Electroencephalography) BCI (Brain-Computer Interface) Brain Fingerprinting Hyperscanning BrainAccess Setup... - [Shop](https://www.brainaccess.ai/products/): Shop - [News](https://www.brainaccess.ai/news/): Discover the transformative power of EEG solutions, unlocking the mind's potential in brain research and diagnostics. - [BrainAccess - Coming Soon](https://www.brainaccess.ai/brainaccess-coming-soon/): Coming Soon Input your email to be notified when we launch! Name * Email Address * Question / Comment If... - [My Account](https://www.brainaccess.ai/my-account/): My Account - [Cart](https://www.brainaccess.ai/cart/): Cart - [Checkout](https://www.brainaccess.ai/checkout/): Checkout --- ## Posts - [EEG Cap Restock Update — New Models Incoming!](https://www.brainaccess.ai/eeg-cap-restock-update-new-models-incoming/): We’re happy to announce that we have redesigned our EEG caps to offer better fit, comfort, and performance! The new... - [EEG Foundation Models: Unlocking the Next Generation of Neurotechnology](https://www.brainaccess.ai/eeg-foundation-models-unlocking-the-next-generation-of-neurotechnology/): In the past decade, Artificial Intelligence (AI) has gone through a radical evolution. At the heart of this revolution are... - [Understanding EEG Power: Beyond the Brainwaves](https://www.brainaccess.ai/understanding-eeg-power-beyond-the-brainwaves/): When discussing brain activity, the term brainwaves frequently appears—but what exactly does this mean, why is it important, and how... - [Neuroadaptive Technology and Brain-Computer Interfaces: Toward a Future of Conversing with Our Minds](https://www.brainaccess.ai/neuroadaptive-technology-and-brain-computer-interfaces-toward-a-future-of-conversing-with-our-minds/): The convergence of neuroadaptive technology, brain-computer interfaces (BCIs), and artificial intelligence is reshaping the boundaries between mind and machine. Traditionally,... - [Neurofeedback in the Real World: From Training your Brain to improve Mental Health](https://www.brainaccess.ai/neurofeedback-in-the-real-world-from-training-your-brain-to-improve-mental-health/): Neurofeedback is a method that trains individuals to consciously regulate their brain activity through real-time feedback from EEG signals. Traditionally... - [Rethinking Education with EEG: Hyperscanning, AI, and the Future of Learning](https://www.brainaccess.ai/rethinking-education-with-eeg-hyperscanning-ai-and-the-future-of-learning/): In an era where personalized education and real-time feedback are becoming essential, the role of brain-computer interface (BCI) technologies, particularly... - [Open-Source EEG Analysis Tools: Making Brain Research More Accessible](https://www.brainaccess.ai/open-source-eeg-analysis-tools-making-brain-research-more-accessible/): Open science has transformed neurotechnology research, giving even small teams access to powerful robust tools developed by the community. Early-career... - [BrainAccess at IOP 2025 in Krakow](https://www.brainaccess.ai/brainaccess-at-iop-2025-in-krakow/): From July 8-11, the BrainAccess team attended the 22nd World Congress of Psychophysiology (IOP 2025) in Krakow, Poland. It was... - [A Comparative Analysis of EEG Cap Technologies](https://www.brainaccess.ai/a-comparative-analysis-of-eeg-cap-technologies/): Electroencephalography (EEG), a non-invasive neurophysiological technique, employs the measurement of cortical electrical activity via scalp electrodes. - [A Comparison of Electrodes: Dry, Wet and Soft](https://www.brainaccess.ai/a-comparison-of-electrodes-dry-wet-and-soft/): Electrodes are used in many technologies, fundamentally acting as transducers that convert body’s ionic currents into electronically processable signals. - [BrainAccess Mobile App Release](https://www.brainaccess.ai/brainaccess-mobile-app-release/): BrainAccess team has released the first version of the BrainAccess Mobile App. Read more about the features and application. - [BrainAccess at the "Heroes of the Brain" Neurohackathon](https://www.brainaccess.ai/brainaccess-at-the-heroes-of-the-brain-neurohackathon/): The BrainAccess team had the honor of sponsoring and attending the “Heroes of the Brain”—a neurohackathon dedicated to BCI. - [BrainAccess Team Attends the 16th International Conference of the Lithuanian Neuroscience Association](https://www.brainaccess.ai/brainaccess-team-attends-the-16th-international-conference-of-the-lithuanian-neuroscience-association/): The 16th International Conference of the Lithuanian Neuroscience Association (LNA), held on November 29th, 2024, at the Life Sciences Center... - [BrainAccess Board Version Update to 2.5.0](https://www.brainaccess.ai/brainaccess-board-version-update-to-2-5-0/): BrainAccess Board has been updated to 2. 5. 0 for both Windows and Linux operating systems. - [BrainAccess SDK Version Update to 3.5.0](https://www.brainaccess.ai/brainaccess-sdk-version-update-to-3-5-0/): BrainAccess SDK has been updated to 3. 5. 0 for both Windows and Linux operating systems. - [100 Years of EEG: How Examining the Brain Changed Neuroscience](https://www.brainaccess.ai/100-years-of-electroencephalography/): This year marks the anniversary of electroencephalography (EEG), which has reshaped our understanding of the human brain. - [BrainAccess Board Version Update to 2.4.0](https://www.brainaccess.ai/brainaccess-board-version-update-to-2-4-0/): BrainAccess Board has been updated to 2. 4. 0 for both Windows and Linux operating systems. - [BrainAccess SDK Version Update to 3.4.0](https://www.brainaccess.ai/brainaccess-sdk-version-update-to-3-4-0/): BrainAccess SDK has been updated to 3. 4. 0 for both Windows and Linux operating systems. - [Hyperscanning Session Using BrainAccess Mobile App](https://www.brainaccess.ai/hyperscanning-session-using-brainaccess-mobile-app/): The BrainAccess team has been testing a new BrainAccess Mobile App for hyperscanning applications. The app enables connecting BrainAccess EEG... - [Neurohackathon "Heroes of the Brain"](https://www.brainaccess.ai/neurohackathon-heroes-of-the-brain/): BrainAccess is pleased to be the sponsor of the Neurohackathon “Heroes of the Brain”, a 24-hour programming marathon organized by... - [BrainAccess SDK Version Update to 3.1.0](https://www.brainaccess.ai/brainaccess-sdk-version-update-to-3-1-0/): BrainAccess SDK has been updated to 3. 1. 0 for both Windows and Linux operating systems. - [BrainAccess Board Version Update to 2.1.0](https://www.brainaccess.ai/brainaccess-board-version-update-to-2-1-0/): BrainAccess Board has been updated to 2. 1. 0 for both Windows and Linux operating systems. - [BrainAccess Hardware Updated to Use BLE Connectivity](https://www.brainaccess.ai/brainaccess-hardware-updated-to-use-ble-connectivity/): All BrainAccess devices have now been updated to use Bluetooth Low Energy (BLE) connectivity. - [BrainAccess Board Version Update to 2.0.0](https://www.brainaccess.ai/brainaccess-board-version-update-to-2-0-0/): BrainAccess Board has been updated to 2. 0. 0 for both Windows and Linux operating systems. - [BrainAccess SDK Version Update to 3.0.0](https://www.brainaccess.ai/brainaccess-sdk-version-update-to-3-0-0/): BrainAccess SDK has been updated to 3. 0. 0 for both Windows and Linux operating systems. - [BrainAccess Board Linux Version Upgrade to 1.1.3](https://www.brainaccess.ai/brainaccess-board-linux-version-upgrade-to-1-1-3/): BrainAccess Board was updated for Linux and the new version 1. 1. 3 is available for download. - [BrainAccess Board Windows Version Upgrade to 1.1.3](https://www.brainaccess.ai/brainaccess-board-windows-version-upgrade-to-1-1-3/): BrainAccess Board was updated for Windows and the new version 1. 1. 3 is available for download. The update mainly... - [BrainAccess Major Hardware Upgrade](https://www.brainaccess.ai/brainaccess-major-hardware-upgrade/): BrainAccess Extended+ Kit, a 32 channel/electrode EEG system, has been added to the existing BrainAccess Standard and BrainAccess Extended kits.... - [BrainAccess SDK Version Upgrade to 2.3.0](https://www.brainaccess.ai/brainaccess-sdk-version-upgrade-to-2-3-0/): BrainAccess SDK was updated and the new version 2. 3. 0 is available for download. - [BrainAccess Board Windows Version Upgrade to 1.1.0](https://www.brainaccess.ai/brainaccess-board-windows-version-upgrade-to-1-1-0/): BrainAccess Board was updated for Windows and the new version 1. 1. 0 is available for download. - [BrainAccess at AI in Medicine Event](https://www.brainaccess.ai/brainaccess-ai-in-medicine-event/): BrainAccess at the "Artificial Intelligence Technologies in Medicine: Research and Diagnostics" event held at the Lithuanian Academy of Science. - [BrainAccess SDK for Linux Platform is Released](https://www.brainaccess.ai/brainaccess-sdk-for-linux-platform-is-released/): BrainAccess SDK for Linux has been released and will be maintained from now onwards. The Linux version has the same... - [Brain-computer interface - what opportunities will the technology provide for people and businesses?](https://www.brainaccess.ai/brain-computer-interface-opportunities/): Osvaldas Putkis, head of the Engineering Department, talks about brain-computer interface opportunities for people and businesses. - [BrainAccess SDK Version upgrade to 2.2.0](https://www.brainaccess.ai/brainacces-sdk-version-upgrade-to-2-2-0/): BrainAccess SDK was updated and the new version 2. 2. 0 is available for download. The updates include: BrainAccess SDK... - [BrainAccess HALO - an Integrated EEG Headband is Released](https://www.brainaccess.ai/brainaccess-halo-an-integrated-eeg-headband-is-released/): Headband is a dry-contact electroencephalography solution that integrates electrodes, adjustable headwear and electroencephalograph with Bluetooth connectivity. - [A Newly Developed ‘Fast’ P300 Classifier](https://www.brainaccess.ai/a-newly-developed-fast-p300-classifier/): P300 paradigm can be employed in BCI systems to allow users to choose options on the screen or in studying the attention of people to different visual material. --- # # Detailed Content ## Products BrainAccess Extended+ Kit maintains the same form factor as Extended Kit but offers higher density coverage. It features a 32-channel BrainAccess MAXI electroencephalograph and EEG cap with dry-contact electrodes. It is ideal for full-coverage EEG measurements in research applications. Features The hardware components included in products, such as EEG solutions, are not classified as medical devices. They have not been designed or manufactured for healthcare services and are not intended or sold for diagnosis, treatment, palliation, medical advice, or illness prevention. Their use is strictly for research, educational, and development purposes. Dry contact shape-conforming electrodes. 32-channel/electrode measurement system with referential montage. A comfortable EEG cap with labeled electrode positions. A 3-axis accelerometer that can be used to detect head and other movements. Bluetooth connectivity for wireless device control and data transfer. Active noise suppression for superior immunity to environmental noise. Lab Streaming Layer support for recording annotations and other data from other sources simultaneously with EEG signals. Long-lasting battery for up to 8 hours of continuous data streaming. Hyperscanning setup capability, allowing synchronized EEG measurements with multiple BrainAccess devices. Free software included for full device control and data streaming. Contents BrainAccess MAXI electroencephalograph BrainAccess CAP with 32 dry-contact spike electrodes and 2 dry-contact pad electrodes USB Bluetooth adapter BrainAccess software: BrainAccess Board, BrainAccess Mobile App and BrainAccess SDK Resources BrainAccess MAXI specifications. BrainAccess CAP specifications. BrainAccess software download. BrainAccess Board overview. BrainAccess Mobile App overview. BrainAccess SDK description with API reference. BrainAccess tutorials on device setup and software. --- BrainAccess Extended Kit is a powerful and versatile EEG solution designed for researchers. It features a 16-channel BrainAccess MIDI electroencephalograph and EEG cap with dry-contact electrodes. It is ideal for full-coverage EEG measurements or high-density measurements over a particular cortex region. Features The hardware components included in products, such as EEG solutions, are not classified as medical devices. They have not been designed or manufactured for healthcare services and are not intended or sold for diagnosis, treatment, palliation, medical advice, or illness prevention. Their use is strictly for research, educational, and development purposes. Dry contact shape-conforming electrodes. 16-channel/electrode measurement system with referential montage A comfortable EEG cap with labeled electrode positions. A 3-axis accelerometer that can be used to detect head and other movements. Bluetooth connectivity for wireless device control and data transfer. Active noise suppression for superior immunity to environmental noise. Lab Streaming Layer support for recording annotations and other data from other sources simultaneously with EEG signals. Long-lasting battery for up to 8 hours of continuous data streaming. Hyperscanning setup capability, allowing synchronized EEG measurements with multiple BrainAccess devices. Free software included for full device control and data streaming. Contents BrainAccess MIDI electroencephalograph BrainAccess CAP with 16 dry-contact spike electrodes and 2 dry-contact pad electrodes USB Bluetooth adapter BrainAccess software: BrainAccess Board, BrainAccess Mobile App and BrainAccess SDK Resources BrainAccess MIDI specifications. BrainAccess CAP specifications. BrainAccess software download. BrainAccess Board overview. BrainAccess Mobile App overview. BrainAccess SDK description with API reference. BrainAccess tutorials on device setup and software. --- BrainAccess Standard Kit is a versatile and extremely portable EEG solution that is ideal for low-density EEG measurements or measurements over a particular cortex region. It features an 8-channel BrainAccess MINI electroencephalograph and EEG cap with dry-contact electrodes, making it easy to set up and use without the need for gel or paste. Features The hardware components included in products, such as EEG solutions, are not classified as medical devices. They have not been designed or manufactured for healthcare services and are not intended or sold for diagnosis, treatment, palliation, medical advice, or illness prevention. Their use is strictly for research, educational, and development purposes. Dry contact shape-conforming electrodes. 8-channel/electrode measurement system with referential montage. Cap with 32 electrode mounting positions (labeled) to choose from. A 3-axis accelerometer that can be used to detect head and other movements. Bluetooth connectivity for wireless device control and data transfer. Active noise suppression for superior immunity to environmental noise. Lab Streaming Layer support for recording annotations and other data from other sources simultaneously with EEG signals. Long-lasting battery for up to 8 hours of continuous data streaming. Hyperscanning setup capability, allowing synchronized EEG measurements with multiple BrainAccess devices. Free software included for full device control and data streaming. Contents BrainAccess MINI electroencephalograph BrainAccess CAP with 8 dry-contact spike electrodes and 2 dry-contact pad electrodes USB Bluetooth adapter BrainAccess software: BrainAccess Board, BrainAccess Mobile App and BrainAccess SDK Resources BrainAccess MINI specifications. BrainAccess CAP specifications. BrainAccess software download. BrainAccess Board overview. BrainAccess Mobile App overview. BrainAccess SDK description with API reference. BrainAccess tutorials on device setup and software. --- An integrated EEG Headband BrainAccess HALO is a wireless dry-contact EEG headband with a 4-channel acquisition system that is ideal for monitoring visual cortex and eye movement activity. It is extremely light and flexible ensuring superior comfort for prolonged use. Features The hardware components included in products, such as EEG solutions, are not classified as medical devices. They have not been designed or manufactured for healthcare services and are not intended or sold for diagnosis, treatment, palliation, medical advice, or illness prevention. Their use is strictly for research, educational, and development purposes. Dry contact electrodes No gel, hassle-free setup. 2 occipital and 2 forehead electrodes Referential montage with reference at Fpz location. One-Size-Fits-All Adjustable to fit most head sizes & shapes. Superior comfort Extremely light and flexible conforming well to the curvatures of the head. Seamless connectivity Complete control & data streaming via Bluetooth. Long-lasting battery Up to 9 hours of continuous data streaming. Hyperscanning supported Multiple HALO or other BrainAccess devices can be used for simultaneous synchronized EEG measurements. Free software included BrainAccess Board, BrainAccess Mobile App and BrainAccess SDK. Contents BrainAccess HALO headbandUSB Bluetooth adapterUSB-C charger cableBrainAccess software: BrainAccess Board, BrainAccess Mobile App and BrainAccess SDK Resources BrainAccess HALO specificationsBrainAccess software downloadBrainAccess Board overviewBrainAccess Mobile App overview. BrainAccess SDK description with API referenceBrainAccess HALO setup tutorial BrainAccess Kits BrainAccess Extended+ Kit 3,000 € Excl. VAT Buy BrainAccess Kits BrainAccess Extended Kit 1,600 € Excl. VAT Buy BrainAccess Kits BrainAccess Standard Kit 900 € Excl. VAT Buy --- --- ## Pages BrainAccess Mobile App The BrainAccess Mobile App is an application for Android devices that can be used to collect data from BrainAccess devices and either re-stream it to the Wi-Fi network or save it locally on the device. Lab Streaming Layer IntegrationBrainAccess Mobile App collects data from BrainAccess devices and re-streams it to Wi-Fi network using LSL protocol. Therefore, the data stream can then be caught by another software running anywhere on this local network. BrainAccess Board software or other third party software supporting LSL could be used for this purpose. The LSL also ensures data synchronization between different data streams, for example, if there is additional stream annotating stimuli events, it would be synchronized with EEG data from BrainAccess devices. Local Data StorageThe data acquired by BrainAccess Mobile App could be saved locally on the mobile device. This allows for truly portable recordings without any need for WiFi connectivity. The data is stored in the standard . bdf format. Hyperscanning CapabilitiesThe use of BrainAccess Mobile App enables easy scale-up of hyperscanning experiments. Each BrainAccess device could connect to a separate mobile device. All these devices would then restream data to the local network and a single instance of BrainAccess Board software can collect all the streams. Read more about Hyperscanning and applications in the Hyperscanning tutorial. Requirements and Installation The mobile device should have an Android 9 or newer operating system installed. The app can be downloaded from the Google Play store. --- Brain Fingerprinting Brain fingerprinting is a lie detection technique based on EEG measurements. Strictly speaking, it is a guilty knowledge or concealed information test, which detects if a person is concealing information purely from EEG recordings. It does so by measuring the EEG response of a person to carefully selected visual stimuli. During brain fingerprinting measurements a person under investigation is shown 3 types of visual stimuli, that can be photos, images, short text:Irrelevants. This type of stimuli are not related to the subject matter. For example, in a crime investigation, that could be various photos of guns or other objects that are unrelated to this particular crime. Targets. This type of stimuli are related to the subject matter. So in the case of a crime investigation example, that could be various objects from the crime scene that would be known to the whole public. Probe. As the name suggests this would be the stimulus that the brain fingerprinting would check if a person knows about. In our example, that could be some detail from the crime scene that only the offender could know. The EEG response to these types of stimuli is measured, namely the P300 potential. It is an event-related potential that could be elicited by various stimuli, for example, by an unexpected stimulus in a sequence of stimuli. It can also be used in BCI for selecting a desired option (link). In brain fingerprinting, the generated P300 potential is checked against target and irrelevant stimuli. If the... --- Starting up with BrainAccess Board This introductory tutorial demonstrates how to connect and stream data from BrainAccess devices using BrainAccess Board software together with its main functionality. If you haven’t done this already, download the BrainAccess Board software from the Download Centre (link). Unpack it and install it on your computer. Connecting and StreamingStart the BrainAccess Board and after some initialization an interactive web application will open in your browser. Follow the steps below to start streaming from the device. Choose the ‘Configuration’ tab and the window as shown above will appear. Select BrainAccess as a source. Press ‘Scan for devices’ and after a while, all available BrainAccess devices will appear on the list. If the expected device is not listed, check if it is turned on and not connected to another computer already. Select the device that you wish to connect to. Press ‘Connect’ and after the connection is established a device tab should appear under the ‘Connected Devices’ list. The data is now being streamed to the computer. If you wish to stop streaming and disconnect from the device, simply press the ‘x’ button on the device tab. The Board will then disconnect from the device and the device tab will be removed from the list. Viewing Data After the device is successfully added to the connected device list, you can preview the data stream using BrainAccess Viewer. Press the graph button on the device tab which will open the Viewer app and will allow you to check... --- EEG Signal (re)Reference EEG signal is measured as a potential difference between two electrodes placed on a person’s scalp. Typically there are more than two electrodes used in EEG signal measurements and they can be combined in different ways in EEG acquisition systems. There are two major montages typically used in EEG recordings: bipolar and referential. Bipolar montage. In a bipolar setup, the potential difference is typically measured between two adjacent electrodes. The whole acquisition system is formed by having many electrode pairs measuring EEG activity over the cortex region of interest. For example, one EEG signal can be acquired from the F3-F7 electrode pair, while another one from the F4-F8 electrode pair. Referential montage. In a referential setup, there is a single reference electrode and the potential difference is measured between any electrode placed on the scalp and this reference electrode. This setup results in as many EEG recordings as in bipolar montage with almost half the number of electrodes. It also allows acquiring a more global picture of EEG activity than in a bipolar setup, however, it comes at the expense of potentially having more noise as the distances between the reference and other electrodes are typically larger. Electrode positions in a standard 10/20 system notation. Reference electrode positions. There is no standard for the position of reference electrode placement, but the most common options include: left mastoid, left ear (with clip electrode), both mastoids or ears. However, ear and mastoid locations are quite susceptible to EEG artifacts... --- EEG Signal Quality There are many parameters of the EEG measurement system that affect the recorded EEG signal quality. While a gold standard for the estimation of signal quality for wet electrodes is skin-electrode impedance, there are many more aspects to consider, particularly, for dry-contact electrode measurements. In this section, we will overview major influences on EEG signal quality. Skin-Electrode Impedance EEG devices measure the potential difference between the electrodes placed on a person’s scalp. However, the currents associated with neural activity have to pass through a couple of layers/components each having its own impedance. The skin has two layers known as dermis and epidermis. Dermis can be electrically modeled as a simple resistor and hence has frequency-independent impedance and is typically lower than the epidermis layer. Skin-to-electrode impedance is typically the largest contributing factor for dry-contact electrodes. Their contact area is smaller when compared with wet gel-based electrodes increasing their impedance. Impedance is also frequency-dependent and decreases with increasing frequency. If someone is interested only in higher frequencies of EEG recording this impedance is less important, however, this is rarely the case. Finally, the material or the composition that the electrode is made of may have significant impedance as well. Nonetheless, this is typically lower when compared to other parts. Equivalent circuit diagram of different parts that contribute to overall impedance observed by EEG measurement apparatus. If the impedance of these parts is large then a couple of issues may arise. The impedance should be much smaller than the... --- Lab Streaming Layer The Lab Streaming Layer (LSL) is a system designed specifically for the unified collection of time-series data in research experiments. It simplifies the process of collecting and working with data streams generated by various sensors and software used in these experiments. LSL streamlines the process by handling networking, synchronization, and data access, allowing researchers to focus on designing and conducting their experiments. LSL is implemented by a core liblsl library with interfaces developed for many programming languages. Many devices and software now integrate and support data exchange through LSL over the network. BrainAccess Board (link) software also uses LSL to synchronize the data if multiple BrainAccess devices are connected. It can also catch streams from other software, for example, used for stimuli generation. Likewise, EEG data coming from BrainAccess devices can be caught by other software for real-time processing or recording. The major features of LSL are outlined below: Unified data collection. LSL offers a standardized way to collect time-series data from different sensors, regardless of the manufacturer or platform. This makes it easier for researchers to integrate data from various sources into their experiments. Networking and time synchronization. LSL streams the collected data over a local network, ensuring all devices involved are synchronized with millisecond precision. This is crucial for experiments where timing accuracy is essential. In addition to this, the data can come from different devices and computers as long as they are connected to the same local network. Hence, the experiments can be very... --- BrainAccess MAXI BrainAccess MAXI is a 32-channel electroencephalograph with a common reference channel. It has the same form factor and the same EEG input connector as the MIDI device but offers double the number of EEG input channels. Both 16 and 32-electrode BrainAccess caps can be used interchangeably with a MAXI device. Download User Manual Overview USB Bluetooth adapter The device comes with a USB Bluetooth 4. 2 adapter, which is used to communicate and stream data to the computer from BrainAccess MIDI. If preferred, a different Bluetooth adapter such as an integrated Bluetooth adapter in a laptop may be used instead. Power switch Press and hold a push button for a couple of seconds to turn the device on/off. The power LED will be lit when powered on. Charging port The device's battery can be charged via a micro-USB port using standard 5V chargers such as mobile phone chargers with a micro-USB plug. The charger should be capable of providing at least 800 mA of current. Note: the device cannot be used while charging. Power LED It is a red-colored LED that indicates when the device is powered on. If the power LED starts blinking, it indicates that the battery level is below 10% and needs charging soon. Connection LED It is a blue-colored LED that indicates when a Bluetooth connection is established between a computer and the device. Input connector It is a convenient connector to quickly connect/disconnect BrainAccess CAP when switching between different sizes or configuration caps.... --- Software BrainAccess software allows interfacing with BrainAccess devices, offers an infrastructure for setting up EEG, BCI, and other experiments, and ships with various EEG and BCI applications. There are two major software options: BrainAccess Board and BrainAccess SDK. While BrainAccess Board is more suited for end users, BrainAccess SDK offers direct control and access to devices and can be used by integrators for the development of specific applications. Software BrainAccess Board BrainAccess SDK BrainAccess Mobile App Download Centre --- BrainAccess CAP The BrainAccess CAP is a versatile EEG cap that is available in different sizes and comes with dry-contact, shape-conforming gold-plated electrodes. The BrainAccess CAP is designed to work with BrainAccess electroencephalographs and can be purchased as part of BrainAccess kits. Download User Manual Overview3 different sizes. The cap is available in 3 different sizes: L, M, and S to fit different adult head sizes and shapes. SizeHead circumferenceTypical userL54 - 59 cmmaleM50 - 55 cmmale, femaleS48 - 52 cmfemale, children Number of electrodes. The total number of electrodes provided with the cap varies depending on the purchased kit. Standard Kit comes with an 8-electrode cap with additional reference and bias electrodes while Extended and Extended+ Kits come with 16 and 32-electrode caps respectively. Dry-contact electrodes. The cap comes with dry-contact electrodes. The electrodes feature spring-loaded spikes that enable the electrode to conform to the curvature of the head resulting in a more comfortable wear when compared to standard dry-contact electrodes. Dry-contact pad electrodes. Electrodes with golden pads are provided for the positions without hair, i. e. , the forehead. Typically, a pad electrode at the Fp1 position is used as a reference electrode and an electrode at Fp2 as a bias electrode in BrainAccess setups. These electrodes generally have good contact which is essential for reference electrodes as it affects the measurements on all the channels. It is recommended to re-reference to average reference or other electrode in software if needed. 34 electrode positions. The cap provides 34... --- BrainAccess Board The BrainAccess Board software is an application that can be used to interface with BrainAccess devices and undertake most of the tasks related to EEG measurements. Download board Download board Multiple Device Connectivity BrainAccess Board allows connecting and streaming data from multiple BrainAccess devices. Devices can be connected to the same computer (limited number) but can also be connected to different computers (unlimited number) and their data streamed to the local network. One instance of BrainAccess Board can collect and record all these streams. All the collected data is synchronized without the need of any external synchronization through physical connections. Hyperscanning CapabilitiesBrainAccess Board can be used for hyperscanning experiments and applications. In hyperscanning simultaneous and synchronized EEG recordings of multiple people are performed enabling the study of social interaction, brain synchronization and other. Read more about it in the Hyperscanning tutorial. Lab Streaming Layer IntegrationBrainAccess Board supports and uses Lab Streaming Layer (LSL)* for data streaming, which provides enormous flexibility when setting up experiments. LSL is used to stream/receive EEG or other data over the network and make sure that the data is synchronized between streams in time-sensitive set-ups. The Board can be used to catch the streams coming from other software and save them together with EEG data. Likewise EEG data streamed by BrainAccess Board to LSL can be caught by other software for data viewing or processing. Read more about LSL in this tutorial. Highly-functional ViewerBrainAcces Board comes with an EEG viewer - a convenient tool... --- BrainAccess SDK BrainAccess SDK is a collection of libraries for controlling the devices, streaming, and preprocessing EEG data. The libraries can be accessed via C or Python API. This gives the user direct control of the devices and access to EEG data and offers integration capabilities into the user’s applications. Below is the list of BrainAccess SDK components. Download SDK Download SDK Core LibraryBrainAccess Core library provides an interface with BrainAccess electroencephalographs. The library gives full control of the device for configuring recording channels, monitoring the state of the device and streaming EEG data and other additional input data if it is available on the device. BrainAccess Core library features callback-driven EEG data acquisition and support for multiple devices through the same Bluetooth adapter. BCI Connect LibraryBrainAccess BCI connect library includes functions required for EEG signal preprocessing such as detrending, filtering and other typical utilities. It also comes with several BCI algorithms based on SSVEP and P300. Refer to the API documentation for more information on the algorithms and the required EEG setups for these to work. C and Python APIBrainAccess SDK can be interfaced through C and Python API. Follow the links for API documentation and examples. C API Documentation Python API Documentation Support for MatlabCurrently, BrainAccess SDK does not have Matlab API. However, Matlab users can use BrainAccess Board to stream data to Lab Streaming Layer (LSL) and use Matlab LSL library to catch the data stream from the Board. Please contact us for more information. Requirements and... --- Methods of Brain Activity Measurements There are many methods for measuring brain activity. Each method differs in its invasiveness, time and spatial resolutions, and other practicalities. Commonly used techniques to record brain activity are illustrated in the picture below. Various measurement techniques for recording brain activity. Green-bounded are non-invasive while orange-bounded invasive techniques. Local Field Potential (LFP). The LFP technique uses micro needles to penetrate the brain tissue and make extracellular electrical activity recordings from deeper brain structures. It offers good resolution both in time and spatial domains. However, this is a very invasive technique, requiring small holes to be made in the scalp and skull for insertion. Hence, this method is limited to very specific research. Electrocorticography (ECoG). ECoG technique, like LFP, requires opening of the skull but the electrodes or electrode array is placed on the surface of the brain this time and does not penetrate the brain tissue. It measures the electrical activity of the outer parts of the brain - the cortex. Therefore, it can’t measure the deep brain structures and the spatial resolution is lower when compared to LFP. The electrodes are typically implanted during the planned brain surgeries and the application outside clinical or laboratory environments is limited. Functional Magnetic Resonance Imaging (fMRI). fMRI measures brain activity through changes in the blood flow. It is a versatile non-invasive technique and can study the whole volume of the brain. Spatial resolution varies greatly depending on the fMRI devices and if the whole brain is being... --- Tutorials Introduction to EEG Methods of Brain Activity Measurements EEG (Electroencephalography) BCI (Brain-Computer Interface) Brain Fingerprinting Hyperscanning BrainAccess Setup BrainAccess HALO Setup Starting up with BrainAccess Board EEG practicalities EEG Signal Quality EEG Signal (re)Reference Lab Streaming Layer --- EEG (Electroencephalography) EEG is a non-invasive technique for measuring the electrical activity of the brain. It is measured as a time-varying voltage difference between electrodes placed on a person's scalp. EEG generally monitors the activity of the neurons in the cerebral cortex as it is closest to the electrodes. The electric potential generated by an individual neuron is far too small to be picked up by EEG and hence it measures the synchronous activity of thousands or millions of neurons. The measured voltage difference between the electrodes is only in the range of microvolts and needs amplification for the recordings to be made. The contribution from the neurons further away from the scalp is even weaker and hence EEG can not measure deeper brain structures. Nonetheless, the cerebral cortex is probably the most interesting part of the brain, which makes us human, allowing us to think, feel, and experience the world around us. Cortex topographyThe cortex can be divided into different regions, called lobes, each responsible for various brain functions. Knowing cortex topography is important when choosing the placement of electrodes for EEG measurements when performing experiments on developing EEG-based systems. For example, the motor cortex is responsible for motor commands. Changes in activity can be observed there when a person intends and/or makes a movement. Likewise, sensorimotor cortex activity varies when a person's sensory nerves are activated by the external environment. The occipital cortex region is responsible for processing visual information and so on. BrainwavesBrainwaves are electrical oscillations or... --- BCI (Brain-Computer Interface) Brain-computer interface (BCI) is a communication link between a human's brain and an external device. EEG measurements can be used in many different BCI systems with some of the examples listed below. Computer control. Computer or other device control replacing physical input devices such as mouse and keyboard. While BCIs still suffer from being slow, they are invaluable for people who have lost motor function and cannot use physical input devices. Mind-controlled computer games. While the traditional approach is to emulate the control of a keyboard or joystick, BCI could be used to track an individual's reaction to various objects, plot twists, and others. This could potentially be used to change the game plot in real time to make it more immersive for a particular individual. Mental state evaluation. BCI can be used to estimate one’s tiredness, focus, and relaxation level. This is important for people working on critical tasks, for people trying to improve their productivity at work or improve, say, their meditation experience. The estimated tiredness or focus level can be relayed back to the individual in some form of feedback that would improve their focus. Sleep monitoring. EEG measurements can accurately determine sleep stages and hence can be used for providing insights into sleep quality, waking up a person at the most appropriate time, and others. Motor function replacement. BCIs can be developed for the control of bionic limbs with the mind. Motor commands coming from the brain can be measured with EEG, which... --- Hyperscanning Hyperscanning is a neuroimaging technique that involves simultaneously recording brain activity from multiple individuals engaged in social interactions or joint tasks. Unlike traditional neuroimaging methods that focus on individual brains, hyperscanning allows researchers to investigate the neural dynamics of social interactions, cooperation, competition, and communication. This is a relatively novel neuroimaging technique that opens new possibilities for researchers outside of the typical neuroscience field and paradigm-shifting applications in BCI, neuromarketing, and others. Imaging Techniques Common neuroimaging techniques used in hyperscanning include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS). You can find a comparison of various imaging techniques in the Methods of Brain Activity Measurements tutorial (link). While fMRI was probably the first one to be used in hyperscanning measurements, EEG and fNIRS are more applicable in most measurement settings because they are more portable and affordable. This is especially important when measuring and studying interaction between people as these techniques allow more freedom of movement or limit the interaction in other ways. Data synchronization. It is important to note that the signals coming from neuroimaging devices or other devices that are used to monitor the activity of the people are synchronized. This allows observing how people react to some common stimulus, be it some sound or video, how brain activity of some person is affected by the actions of another person, etc. Hence, having data synchronized in time is crucial for hyperscanning experiments and measurement systems. BrainAccess software uses a Lab Streaming Layer protocol... --- BrainAccess Standard Kit Setup BrainAccess CAP has smaller and larger holes. Smaller holes should be used for electrode attachment to the cap and larger holes for the cables to pass from the inner part of the cap to the outer. The BrainAccess Standard Kit comes with 8 dry-contact electrodes with spring-loaded spikes and 2 dry-contact electrodes with pads that are mounted at forehead positions. Follow the steps below for setting up the cap. Mount BrainAccess MINI electroencephalograph at the back of the cap using velcro tape. Place the electrode at the desired location and use the clip to attach the electrode to the cap. Connect one end of the provided ultra-mini coaxial cable to the socket on the electrode. Pass the other end of the cable through the nearest larger hole to the outer side of the cap and connect to the BrainAccess MINI. Repeat steps 2-4 until all the required electrodes are installed on the cap. Note: The standard BrainAccess setup with electrode positions and corresponding input channels on the BrainAccess MINI are given below. Use cables of appropriate length when connecting electrodes to MINI. BrainAccess capBrainAccess electrode mounting Standard BrainAccess setup. Electrode positions and corresponding channels on BrainAccess MINI Bias – Fp2Reference – Fp10 – F31 – F42 – C33 – C44 – P35 – P46 – O17 – O2 Follow the tutorial for BrainAccess Board to connect the MINI device to the computer and start streaming and recording EEG data. BrainAccess Board tutorial --- BrainAccess HALO Setup This tutorial goes through the steps required to correctly setup BrainAccess HALO EEG headband for measurements. See the figures below to get acquainted with HALO’s electrode positions. 1. Position the frontal part of the band on the forehead. The reference electrode location should roughly coincide with the midpoint of the forehead. Note: the box with the power button should be on the left side of the head. 2. Pull back the back part of the headband slightly, lower it down and then release once the back electrodes are over the occipital cortex region. Note: if the band is too tight or too loose, remove the band from the head and adjust the band length using the metal adjustment mechanism before putting it back on. 3. Adjust the back electrodes so that they are slightly above the inion and centred laterally. Press and hold the power button for a couple of seconds. Once turned on, it will vibrate and the blue LED will start breathing. Note: If it does not turn on and the red light LED blinks a couple of times meaning that the battery is low, please charge the device first. If you haven’t done this already, plug in the provided Bluetooth adapter to your computer, the drivers should install automatically. Skip this step if using an integrated or some other installed Bluetooth adapter. You are now ready to connect to your device! You can use BrainAccess Board software to connect to the device, stream and... --- BrainAccess HALO The BrainAccess HALO is a fully integrated EEG headband featuring dry contact electrodes and Bluetooth connectivity. It is a 4-channel EEG acquisition system with a common reference channel. Download User Manual Overview Extremely portable BrainAccess HALO integrates a full EEG acquisition system (electrodes, electroencephalograph, battery and Bluetooth transceiver) while maintaining a small form factor making it a truly portable device. Superior comfort BrainAccess HALO is an extremely light and semi-flexible headband that adapts well to the curvature of the head ensuring comfortable wear even for extended periods of time. Long operating times The HALO is equipped with a high-capacity battery, which ensures long operation times and up to 8 hours of continuous data streaming before the need for charging. One size fits all The size of the band can be easily adjusted and can fit most of the adult head sizes. The band and electrodes themselves are flexible ensuring good electrode contact for different head shapes. Dry-contact electrodes The device features dry-contact electrodes and therefore no conductive gel is needed for EEG measurements. The electrodes are gold-plated ensuring their long operation life-time. The electrodes positioned at the back of the head have spring-loaded spikes that ensure good penetration through hair and good comfort. High-quality EEG signals Shielding, the use of active ground and the fact that the whole measurement system is integrated into the band -- all help minimizing the effects of external noise sources on EEG recordings. BrainAcccess HALO Setup Tutorial Controls and Indicators The minimalistic user... --- BrainAccess MINI The BrainAccess MINI is an 8-channel electroencephalograph with a common reference channel. Its compact size, Bluetooth connectivity, and long battery life make it a truly portable device. Download User Manual Overview USB Bluetooth adapter The device comes with a USB Bluetooth 4. 2 adapter, which is used to communicate and stream data to the computer from BrainAccess MINI. If preferred, a different Bluetooth adapter such as an integrated Bluetooth adapter in a laptop may be used instead. Power switch Press and hold a push-button for a couple of seconds to turn the device on/off. The power LED will be lit when powered on. Charging port The device's battery can be charged via a micro-USB port using standard 5V chargers such as mobile phone chargers with a micro-USB plug. The charger should be capable of providing at least 800 mA of current. Do not use the device when charging with chargers powered from grid electricity due to safety reasons and potentially 50/60 Hz noise affecting the signals. The device can be used when charging from a power bank though. Power LED It is a red-colored LED that indicates when the device is powered on. If the power LED starts blinking, it indicates that the battery level is below 10% and needs charging soon. Connection LED It is a blue-colored LED that indicates when a Bluetooth connection is established between a computer and the device. EEG inputs These inputs should be connected to electrodes that measure EEG activity with respect... --- BrainAccess MIDI BrainAccess MIDI is a 16-channel electroencephalograph with a common reference channel. It is more powerful than MINI with extra EEG channels and longer battery life. Download User Manual Overview USB Bluetooth adapter The device comes with a USB Bluetooth 4. 2 adapter, which is used to communicate and stream data to the computer from BrainAccess MIDI. If preferred, a different Bluetooth adapter such as an integrated Bluetooth adapter in a laptop may be used instead. Power switch Press and hold a push button for a couple of seconds to turn the device on/off. The power LED will be lit when powered on. Charging port Our EEG hardware device's battery can be charged via a micro-USB port using standard 5V chargers such as mobile phone chargers with a micro-USB plug. The charger should be capable of providing at least 800 mA of current. Do not use the device when charging with chargers powered from grid electricity due to safety reasons and potentially 50/60 Hz noise affecting the signals. The device can be used when charging from a power bank though. Power LED It is a red-colored LED that indicates when the device is powered on. If the power LED starts blinking, it indicates that the battery level is below 10% and needs charging soon. Connection LED It is a blue-colored LED that indicates when a Bluetooth connection is established between a computer and the device. EEG inputs These inputs should be connected to electrodes that measure EEG activity with... --- BrainAccess® Where a neuron meets a neuron AI-enabled electroencephalography (EEG) and hyperscanning solutions for research, Brain-computer interface (BCI) and other applications Buy now Contact us Shape conforming dry-contact electrodes. No gel required. Battery-powered, wireless and compact devices. Freedom of movement. Comfortable EEG headwear. Different configurations available for different experiment setups. Hyperscanning capabilities. Simultaneous synchronized EEG measurements from a group of people. Lab Streaming Layer support. Provides an easy-to-use infrastructure for your experiments and applications. Direct access to EEG data. Effortlessly access and integrate data for streamlined experimentation. SDK available with multiple programming languages supported. Develop your own EEG/BCI applications. AI-enabled BCI algorithms. Harness the power of AI-driven algorithms for seamless interaction. BrainAccess offers EEG solutions designed for research, brain-computer interface development, neuromarketing, and beyond. BrainAccess devices feature dry-contact EEG electrodes, wireless connectivity, and a compact form factor ensuring truly portable applications. Our software supports Lab Streaming Layer (LSL) protocol and allows recording synchronized EEG measurements together with stimulus onsets or sensor data enabling quick and easy setup of EEG experiments. Additionally, BrainAccess facilitates hyperscanning - synchronized measurements of the brain activity of multiple people, allowing simultaneous recordings from several devices. Explore the possibilities with our user-friendly software development kit supporting multiple programming languages, allowing direct control of the devices and the development of EEG end-user applications. BrainAccess Standard Kit BrainAccess Standard Kit is a versatile and extremely portable EEG solution. It features an 8 channel BrainAccess MINI electroencephalograph and BrainAccess CAP with dry-contact shape-conforming electrodes. €800 Excl. VAT Buy now... --- BCI Technology Brain-computer interface (BCI) is a communication link between a human's brain and an external EEG device. The applications of BCI technology are vast with examples listed below of how BrainAccess AI EEG technology can be utilized:Computer or other device control replacing physical input devices Mind-controlled computer gamesEvaluation of tiredness, focus, and relaxation for people working on critical tasks, for people trying to improve their productivity at work or improve their meditation experience Sleep monitoring to get insights into sleep quality and provide feedback to improve itNeuromarketing for investigating human interaction with various products, interfaces, etcLost motor functions replacement, when bionic limbs can be controlled with the mind“Lie detection” as the brain activity is arguably impossible to control consciouslyReading brain activity and translating that activity to commands or other information understandable by computers/devices are the main components of BCI technology. In many cases, BCI systems also include some stimulation components for presenting options to a person to choose from. These are typically presented on some display but there can be other forms of presentation such as sounds or tactile stimulations. Brain Activity MeasurementsThere are many methods for measuring brain activity. Each method differs in its invasiveness, time and spatial resolutions, and other practicalities. Commonly used techniques to record brain activity are illustrated in the picture on the right. Various measurement techniques for recording brain activity. Green-bounded are non-invasive while orange-bounded invasive techniques. LFP and ECoG techniques measure the electrical activity of neurons and offer good resolution in both time... --- Hardware BrainAccess EEG hardware is exclusively based on dry-contact electrodes. The electrodes have been developed to be optimal in terms of size, signal quality, and comfort. They feature 12 gold-plated spikes, each spike is spring-loaded allowing for the electrode to conform to the curvature of the head therefore increasing the comfort when compared to standard dry-contact electrodes. The back of the electrode is shielded to ensure maximum isolation from external noise sources. For EEG measurements where there is no hair, gold-plated pad electrodes are used instead of spike electrodes for improved contact and comfort. BrainAccess electroencephalographs are wireless, lightweight, battery-powered devices to make them truly portable devices that can be used in different environments. They feature multi-channel EEG inputs with a common reference channel and also additional data inputs such as an accelerometer. They offer active noise suppression and come with shielded mini cables to minimize the effects of the surrounding environment. Multiple electroencephalographs can be connected to the same computer or the same computer network and synchronized for multi-user experiments and applications. BrainAccess headwear offers usage flexibility. BrainAccess CAP is available in different sizes and with different numbers of electrodes. The CAP follows the standard 10-20 system with a large number of available mounting positions for electrodes. The integrated BrainAccess HALO EEG headband has fixed electrode positions but can adapt to most head sizes and shapes. Hardware BrainAccess HALO BrainAccess MINI BrainAccess MIDI BrainAccess MAXI BrainAccess CAP --- Download centre Software BrainAccess Board 2. 5. 0 Download Download BrainAccess SDK 3. 5. 0 Download Download BrainAccess Mobile App Previous versions For non-BLE devices BrainAccess Board 1. 1. 3 Download Download BrainAccess SDK 2. 3. 0 Download Download User manuals BrainAccess HALO user manual Download BrainAccess MINI user manual Download BrainAccess MIDI user manual Download BrainAccess MAXI user manual Download BrainAccess CAP user manual Download BrainAccess brochure Download --- About us BrainAccess products are developed by Neurotechnology Having a huge experience in AI and deep neural networks Neurotechnology decided to apply its knowledge in the fascinating field of BCI. The data coming from the brain activity is very complex and application of AI-based algorithms seems like a necessity to make sense of all this data. The project started in 2019 and eventually led to a creation of BrainAccess products and solutions for EEG and BCI applications. Learn more about Neurotechnology Visit website --- Thank you Thank you for your message. We will get back to in 1-2 business days! --- Privacy policy At Neurotechnology UAB (company code: 120441850, address: Laisvės pr. 125A, Vilnius, Lithuania, email: brainaccess@neurotechnology. com) and its affiliated entities we take User privacy and personal data protection very seriously. In this Privacy Policy we set data protection standards and describe how information from User (“User“) is collected, used, maintained and disclosed by brainaccess. ai Website and Services. This privacy policy applies to the brainaccess. ai website (“Site“) and all software products and related services offered by brainaccess. ai Website. The aim of this Privacy Policy is to provide adequate and consistent safeguards for the handling personal data of potential client’s and existing clients’ data within Neurotechnology and its affiliated entities in accordance with the requirements of General Data Protection Regulation (Regulation (EU) 2016/679 of 27 April 2016, “GDPR“) and other applicable data protection laws. Collection and storage of personal information We may collect personally-identifying information, including the IP address and other internet server provider related information, when User: Visits the Site. Registers on the Site. Fills a form. Subscribes for a newsletter. Makes other activities connected to the Site, to brainaccess. ai software products and cloud services. We may process the following personal data provided by the User: Name and / or Company name. Email. Website address. Phone. Address. Photos. Invoice related information. User’s submission of his/her personal data to the Site shall be regarded, among others, as User’s explicit consent to the processing of that personal data for one or more specified purposes listed in this Privacy... --- Technology Brain-computer interface (BCI) is a communication link between a human's brain and an external device. BCI applications range from lost motor function replacement to mind-controlled computer games. BCI can also be used not only for generating discrete commands but also for evaluating the mental state of a person such as focus, relaxation, or tiredness. In addition, BCI systems are being developed that could essentially be used as lie detectors, which would be even more difficult to deceive. Recent research even shows the feasibility of recovering the 'inner voice' of a person from EEG measurements, essentially providing an ability to read a person's thoughts. The main components of BCI are reading brain activity and translating that activity to commands understandable by computers or other devices. There are many methods for measuring brain activity. Each method differs in its invasiveness, time, and spatial resolutions. Commonly used techniques to record brain activity are illustrated in the picture below. From left to right temporal resolution decreases, from --- Terms & Conditions 1. Acceptance of Terms By using any part of the brainaccess. ai Website or purchasing our products, you agree to be bound by these terms and conditions. If you do not agree, you should not use the Website or purchase any products. 2. Customer Identity Private customers and representatives of business customers commit that they are adult, capable and have provided the right and correct information about themselves while making an order, otherwise Neurotechnology reserves the right to cancel orders with incorrect and/or false customer information. The customers will be solely responsible for any consequences, inconvenience and losses if they provide false or incorrect information about themselves. The customer information includes: full name of the person that makes the order; company name (if the order is made on behalf of a company); email address; full shipping address; phone number. Neurotechnology does not require its customers to register on the brainaccess. ai website at the moment, thus the Customer has to provide full and correct information while making every order. See also the Privacy policy. 3. Right to do Business You warrant that you have the full right to enter into this Agreement and that no litigation impedes your ability to perform your obligations hereunder. 4. Description of Products By using any part of the brainaccess. ai Website or purchasing our products, you agree to be bound by these terms and conditions. If you do not agree, you should not use the Website or purchase any products. 5. Pricing &... --- Contact Us Neurotechnology +370 5 277 3315 brainaccess@neurotechnology. com Head office Laisves av. 125A, Vilnius, LT-06118, Lithuania Send us a message Name * Email * Phone Subject * Message * Yes, I'd like to receive updates, tips and news from BrainAccess If you are human, leave this field blank. Δ Distributors Eidyia TechnologiesAddress: 16 Bedok Rise #05-49 Singapore 465409 Tel: +65 9026 6338 Email: kimsoon. lee@eidyia. com. sg Web: www. eidyia. com. sg --- Resources Tutorials Introduction to EEG Methods of Brain Activity Measurements EEG (Electroencephalography) BCI (Brain-Computer Interface) Brain Fingerprinting Hyperscanning BrainAccess Setup BrainAccess HALO Setup BrainAccess Standard Kit Setup Starting up with BrainAccess Board Tutorials page Downloads BrainAccess HALO user manual BrainAccess MINI user manual BrainAccess MIDI user manual BrainAccess MAXI user manual BrainAccess CAP user manual Download centre BrainAccess Mobile App --- Shop --- Standard Blog --- Coming Soon Input your email to be notified when we launch! Name * Email Address * Question / Comment If you are human, leave this field blank. --- My Account --- Cart --- Checkout --- --- ## Posts We’re happy to announce that we have redesigned our EEG caps to offer better fit, comfort, and performance! The new and improved caps are on the way! The current version of the BrainAccess EEG caps is now sold out. We’re preparing to restock soon with the new design — stay tuned! Note that it is still possible to place an order now, and we’ll ship your cap as soon as the new stock arrives. Our popular BrainAccess Halo headband continues shipping as usual — no changes there. We’ll share more details about the new caps very soon. In the meantime, thank you for your support and patience! The BrainAccess Team --- In the past decade, Artificial Intelligence (AI) has gone through a radical evolution. At the heart of this revolution are foundation models, large, general-purpose models that learn from massive datasets and can be adapted to many tasks with minimal extra training. The most famous example are Large Language Models (LLMs), like GPT-4, which have transformed the way we interact with machines through natural language. What if we could apply that same idea, not only to language, but also to brain signals? Welcome to the world of EEG foundation models! What are EEG Foundation Models (EEG-FMs)? Just as LLMs are trained on massive amounts of text to learn the structure of language, EEG foundation models (EEG-FMs) are trained on large-scale electroencephalography (EEG) data to learn the structure of cognition. These models aim to develop a general understanding of EEG signals across different subjects, tasks, and mental states. Once trained, they can be fine-tuned for specific applications, like mental workload estimation, emotional state detection, attention tracking, or BCI control, with minimal calibration. EEG-FMs are built using deep learning architectures similar to those used in Natural Language Processing (NLP), such as: Encoder models that turn raw EEG into compact, meaningful representations. Encoder-decoder models that enable reconstruction, translation between modalities, or temporal predictions. Contrastive learning strategies that align EEG with behavioral or contextual labels. EEG-FMs vs. LLMs EEG-FMs share core principles with LLMs. Both are built on the idea of pretraining on vast and diverse datasets to learn general-purpose representations. This foundational knowledge can... --- When discussing brain activity, the term brainwaves frequently appears—but what exactly does this mean, why is it important, and how does it relate to EEG power? What Are Brainwaves? Brainwaves are rhythmic electrical activities produced by neurons in your brain. They're typically categorized by their frequency (measured in Hertz, Hz): Delta (0. 5–4 Hz): Dominant during deep sleep, essential for restorative processes. Theta (4–8 Hz): Linked to memory, meditation, and dreaming. Alpha (8–13 Hz): Associated with relaxation, eyes-closed rest, and creativity. Beta (13–30 Hz): Reflective of alertness, concentration, and active thinking. Gamma (>30 Hz): Related to high-level cognition, information integration, and consciousness. These frequencies help us decode various states of the brain, from sleep stages to intense concentration. Why Measure EEG Power? EEG power represents the strength of these brainwave signals. By accurately measuring EEG power, we can understand how prominently each brainwave component is represented in the EEG signal and identify which frequencies dominate the brain’s response at any given moment. This offers valuable insights into cognitive states, emotional well-being, neurological conditions, and overall brain health, and can even help predict specific mental or physical activities a person may be engaged in. Reliable EEG power measurements are essential for a wide range of applications, from advancing health optimization strategies to supporting scientific research and enabling the development of more accurate brain-computer interfaces (BCI). Challenges in Measuring Real EEG Power Measuring accurate EEG power isn't straightforward. Several factors complicate the interpretation. For example: Noise and Signal Quality: External electrical interference... --- The convergence of neuroadaptive technology, brain-computer interfaces (BCIs), and artificial intelligence is reshaping the boundaries between mind and machine. Traditionally, BCIs have enabled basic communication and control by translating brain activity, often measured through EEG (electroencephalography), into digital signals. However, the integration of advanced AI, particularly large language models (LLMs), is paving the way for a new generation of BCIs, systems that not only read brain signals but learn from and adapt to them over time. Imagine an AI assistant that automatically adjusts its tone based on your mood, sensing when you are bored, irritated, or confused, and adapting its language to better meet your needs. This neuroadaptive approach could revolutionize how we design content, educational material, and interactive experiences. Alternatively, think about a system that can monitor your cognitive health in real time and provide feedbacks to improve your wellbeing, help you focus on your tasks, and be more productive. At the core of this emerging paradigm is the idea of creating intelligent devices that continuously monitor the brain’s electrical activity and use AI to interpret complex patterns associated with cognitive, emotional, and physiological states. Unlike conventional BCIs, which often rely on predefined, task-specific decoding strategies, neuroadaptive systems augmented with LLMs can build flexible, individualized models of brain activity. These models evolve with the user, personalizing responses based on real-time brainwave fluctuations and long-term neural trends. Another particularly exciting frontier is the possibility of “chatting” with your brain. Imagine a system where your EEG signals—subtle shifts in frequency bands... --- Neurofeedback is a method that trains individuals to consciously regulate their brain activity through real-time feedback from EEG signals. Traditionally used in clinical research and therapeutic settings, it is now gaining broader interest for a variety of applications. From treating mental health conditions to enhancing cognitive performance, improving focus, and supporting mindfulness practices, neurofeedback is becoming a versatile tool for improving overall brain health. Thanks to recent advances in wearable EEG technology, these applications are becoming increasingly portable, scalable, and accessible, supporting researchers, developers, clinicians, and end-users across multiple domains. How Neurofeedback Works In a typical neurofeedback session, brain signals are recorded using EEG and translated into visual or auditory feedback. The user is guided to increase or suppress specific brainwave patterns (such as alpha or theta) associated with desired mental states, like calmness, alertness, or sustained attention. Over time, the brain learns to adopt these patterns more effectively, reinforcing functional networks and promoting both behavioral and neural changes. This process engages mechanisms of reinforcement learning and neuroplasticity, which can benefit both healthy individuals and those experiencing cognitive or emotional difficulties. Below, we’ve highlighted some of the emerging areas where EEG-based neurofeedback has shown measurable benefits, from elite performance and cognitive enhancement to clinical intervention and everyday mindfulness. 1. Neurofeedback for Athletic Performance A systematic review examined the use of neurofeedback in sports training across 10 studies, involving nearly 500 professional athletes in disciplines like judo, soccer, volleyball, and boxing. Results showed that neurofeedback significantly improved: Reaction times Motor coordination... --- In an era where personalized education and real-time feedback are becoming essential, the role of brain-computer interface (BCI) technologies, particularly electroencephalography (EEG), is more relevant than ever. Once confined to laboratories, EEG has now the potential to step into classrooms, lecture halls, and even virtual learning environments, thanks to advances in portability, affordability, and AI integration. From Brainwaves to Breakthroughs EEG captures electrical signals from the brain, allowing researchers and educators to monitor attention, engagement, cognitive load, and emotional responses during learning activities. This opens up new possibilities in tailoring educational content and strategies based on how students actually process information, not just how they perform in tests. Hyperscanning: Learning as a Shared Experience One of the most exciting developments in educational neuroscience is hyperscanning, the simultaneous EEG recording of multiple individuals. In a classroom, this could mean monitoring both students and teachers during a lesson, revealing patterns of mutual engagement and communication efficiency. For example: Teacher-student synchrony can predict learning outcomes. Group-based brain synchrony can inform collaborative learning strategies. Social attention tracking can guide inclusive practices, ensuring all students remain cognitively connected to the experience. AI Meets EEG: Towards Truly Adaptive Learning Combining EEG data with artificial intelligence creates powerful feedback loops. Artificial Intelligence (AI) can analyze brainwave patterns to adjust the pace, difficulty, or modality of instruction in real time. This can support: Neuroadaptive tutoring systems that personalize content delivery. Real-time feedback for educators on class-wide attention or fatigue levels. Cognitive state detection (e. g. , overload, boredom,... --- Open science has transformed neurotechnology research, giving even small teams access to powerful robust tools developed by the community. Early-career researchers and neuroscience enthusiasts entering EEG/MEG data analysis can benefit immensely from open-source software. These tools not only save costs but also foster collaboration and rapid innovation. As a neuroscientist with nearly a decade of experience, I have worked with many of the leading open-source EEG and MEG analysis tools available in Python and MATLAB. In this article, I will offer a practical overview of the most widely used platforms, highlighting their key features, strengths, and limitations, to help newcomers navigate this rich and evolving ecosystem with confidence. MNE-Python Platform: Python. Overview: MNE-Python is an open-source library and one of the most popular toolkits for EEG/MEG analysis in Python. It provides comprehensive capabilities for signal processing, visualization, and even source-level analysis of neurophysiological data (covering EEG, MEG, intracranial EEG/ECoG, fNIRS, etc. ). Built on the scientific Python stack, MNE leverages libraries like NumPy and SciPy, and it’s collaboratively developed by a large community (more than 200 contributors). Advantages: Complete and well-documented pipeline. Its use of structured objects (like Raw, Epochs, Evoked) makes the workflow both fast and intuitive. You can easily inspect, modify, and process your data while keeping it well-organized. Leveraging the scientific Python ecosystem, MNE is optimized for performance and integrates seamlessly into data science workflows. Moreover it is modular and extensible: many smaller EEG/MEG-focused libraries (e. g. , PyPREP, Autoreject, EELBRAIN) are designed to work with MNE... --- From July 8-11, the BrainAccess team attended the 22nd World Congress of Psychophysiology (IOP 2025) in Krakow, Poland. It was an exciting opportunity to connect with researchers, innovators, and professionals from around the world. At our booth, we showcased the full range of BrainAccess EEG products and presented a live demo of our new EEG-AI system, an interactive assistant powered by real-time brain data. Visitors experienced firsthand how our technology is making EEG more accessible, intelligent, and adaptable to both research and practical applications. A huge thank you to everyone who stopped by! We're energized by the conversations and collaborations sparked during the event! Stay tuned for more events! We're just getting started! --- Electroencephalography (EEG), a non-invasive neurophysiological technique, employs the measurement of cortical electrical activity via scalp electrodes. The efficiency of EEG recording is linked to the cap technology employed, which dictates electrode placement, signal quality and user comfort and experience. In this article, we will provide a comparative analysis of EEG cap technologies, ranging from simplified headbands to high-density multi-channel caps, highlighting their applications and characteristics. Electroencephalography (EEG), a non-invasive neurophysiological technique, employs the measurement of cortical electrical activity via scalp electrodes. The efficiency of EEG recording is linked to the cap technology employed, which dictates electrode placement, signal quality and user comfort and experience. In this article, we will provide a comparative analysis of EEG cap technologies, ranging from simplified headbands to high-density multi-channel caps, highlighting their applications and characteristics. EEG headbands for simplified data gathering Consumer-grade EEG headbands represent a simplified approach to EEG data acquisition, prioritizing user accessibility and ease of application. Characterized by a limited number of electrodes, typically 2-4, these devices are designed for rapid deployment and minimal user training. A prominent application example for EEG headbands is sleep monitoring. The simplified electrode configuration makes recording data domestic settings easier, enabling the characterization of sleep architecture and the detection of sleep-related physiological events. According to A. B. Kent et al. , a simplified EEG headband can be effectively used to monitor sleep patterns in patients with mild to moderate Alzheimer's disease (AD) at home, revealing a significant reduction in slow-wave sleep compared to healthy controls. This method provides a feasible alternative to clinical polysomnography, enabling more accessible and comfortable sleep assessments for AD patients and facilitating future research into sleep-targeted therapies. Headbands can also be applied for extensive research in groups. Hyperscanning, the simultaneous recording of brain activity from multiple individuals, is significantly enhanced by the use of headbands. The easy setup of these devices simplifies the research process, allowing for... --- Electrodes are used in many technologies, fundamentally acting as transducers that convert the body’s ionic currents into electronically processable signals and vice versa. In medical diagnostics, they are inseparable from procedures like electrocardiograms (ECGs), electroencephalograms (EEGs), and electromyograms (EMGs), enabling the detection and analysis of electrical activity in the heart, brain and muscles, respectively. Electrodes are used in many technologies, fundamentally acting as transducers that convert the body’s ionic currents into electronically processable signals and vice versa. In medical diagnostics, they are inseparable from procedures like electrocardiograms (ECGs), electroencephalograms (EEGs), and electromyograms (EMGs), enabling the detection and analysis of electrical activity in the heart, brain and muscles, respectively. Ongoing advancements in materials science and nanotechnology are driving the development of more biocompatible, sensitive and minimally invasive electrodes, expanding their applications and improving patient outcomes. All electrodes work on the same principle: they facilitate the flow of electrical current between the body and an electronic device. The key difference lies in how they achieve this connection. A good electrode needs to make consistent, reliable contact with the skin (or other tissue) while minimizing interference and maximizing signal quality. Before discussing the different types of electrodes, it’s essential to acknowledge the work of Hans Berger, who is credited with the discovery of the electroencephalogram (EEG) in the 1920s. His pursuit of understanding the brain’s electrical activity led him to develop the first EEG machine, a device that could record these minute electrical signals. Berger’s early electrodes were typically made of silver and required a conductive paste to ensure good contact with the scalp. His pioneering work laid the foundation for all subsequent EEG research and clinical applications, demonstrating the immense potential of measuring the activity of the brain. While modern electrode technology has advanced significantly since Berger’s time, his initial designs and techniques were crucial for... --- BrainAccess team has released the first version of the BrainAccess Mobile App. BrainAccess team has released the first version of the BrainAccess Mobile App. This release addresses the need for the connectivity of BrainAccess devices with phone or tablet. The newly released app coupled with light and wireless BrainAccess devices offers a truly portable EEG solution. The app can connect to all the different BrainAccess devices through Bluetooth connectivity. It features: Streaming data to LSL (Lab-streaming Layer). The data collected from the BrainAccess device is automatically re-streamed to the local Wi-Fi network using LSL protocol. The data stream can then be caught and processed/saved by BrainAccess Board or other third-party software that supports LSL running and connected to the same Wi-Fi network. Local data storage. The data collected from the BrainAccess device can be saved on the local storage of the mobile device. This allows for offline data collection, where portability is required. Read more about the features and application of BrainAccess Mobile App here. The app is available on Google Play for Android devices only. However, the app for the iOS operating system will be released in the future. The current Lite version will be extended with more functionality in the near feature as well. --- Last month, the BrainAccess team had the honor of sponsoring and attending the “Heroes of the Brain”—the largest neurohackathon of its kind in Poland, hosted by the Neuron Science Club and the Wrocław University of Science and Technology. We had the opportunity to showcase a hyperscanning session, where music was generated directly from the brainwave signals of multiple participants using EEG technology. BrainAccess supplied both the hardware (BrainAccess HALO and MINI) and software (BrainAccess Board) for the hackathon that lasted 24 hours, during which the participants had to program and develop prototypes with novel applications. Dr. Osvaldas Putkis, Head of Engineering at Neurotechnology, served as a judge and was glad to see so many applications created and based on BrainAccess devices. The event brought together 132 individuals who formed 32 teams to compete in two categories: Entertainment and Social Impact. The SAGRES team took the top prize in the Social Impact category, while BrainSurfer, a team that developed a thought-controlled surfing game, won the Entertainment category. BrainAccess is thrilled to have been a part of this event that has attracted so many people interested in EEG and brain-computer interface technology. We look forward to further cooperation with the Neuron Science Club and the Wrocław University of Science and Technology. Photos by Bartosz Grelewski --- The 16th International Conference of the Lithuanian Neuroscience Association (LNA), held on November 29th, 2024, at the Life Sciences Center in Vilnius, Lithuania, featured a diverse program of keynote lectures, poster presentations and discussions. The 16th International Conference of the Lithuanian Neuroscience Association (LNA), held on November 29th, 2024, at the Life Sciences Center in Vilnius, Lithuania, featured a diverse program of keynote lectures, poster presentations and discussions. The conference brought together renowned international experts and local researchers. This year's event focused on the topics of neurodevelopmental disorders, neurodegenerative diseases and the neural basis of behavior. The BrainAccess team attended the conference gaining valuable insights into the latest neuroscience research. We appreciate the opportunity to connect with the scientific community and look forward to future collaborations. --- BrainAccess Board has been updated to 2.5.0 for both Windows and Linux operating systems. BrainAccess Board has been updated to 2. 5. 0 for both Windows and Linux operating systems. Apart from minor bug fixes it includes the release of Python API for the BrainAccess Board. The Python API enables access of Board functionality using Python programming language that includes: Direct real-time access of the EEG data stream/buffer Adding/removing annotation stream or other LSL (Lab Streaming Layer) based streams Starting/stopping the recording of data and other commands This simplifies most experiment setups for users using Python programming language as all the data buffering, synchronization with annotations and data saving is done by the Board. Please check the Board’s Python API documentation here (https://www. brainaccess. ai/documentation/board-python-api/) The new BrainAccess Board version is available for download here. --- BrainAccess SDK has been updated to 3.5.0 for both Windows and Linux operating systems. BrainAccess SDK has been updated to 3. 5. 0 for both Windows and Linux operating systems. This release includes various bug fixes and improvements in the example. Please do not forget to update your BrainAccess devices before using the new SDK. This can be done using BrainAccess Board software (link to download). The new BrainAccess SDK version is available for download here. --- This year marks the anniversary of electroencephalography (EEG), which has reshaped our understanding of the human brain. Today, EEG finds applications in various fields, including neuroscience research, clinical treatment and diagnosis and brain-computer interface. With increasing computing power and the advances in AI technologies the field of EEG is also rapidly evolving. In this article, we will expand on the notion of EEG, recall the most famous breakthroughs in history and dive deeper into its applications. Significant EEG research of the 20th century The history of electroencephalography (EEG) traces back to the late 19th century when Richard Caton, a British physician, initially recorded electrical activity from animal brains and provided the basis for EEG research. He observed rhythmic fluctuations in these signals, suggesting that the brain generates electrical activity. Nevertheless, the biggest discovery happened in 1924, when German psychiatrist Hans Berger recorded the first human brainwave data. Initially, EEG was primarily used to diagnose epilepsy and other neurological disorders. As technology advanced, portable EEG devices and real-time analysis became possible. Rapid Eye Movement (REM) One of the most notable developments was the increased understanding of sleep stages. In 1953, Eugene Aserinsky and Nathaniel Kleitman discovered rapid eye movement (REM) sleep, a distinct stage of sleep characterized by rapid eye movements, increased brain activity, and vivid dreaming. By analyzing EEG patterns, researchers were able to identify the different stages of sleep and their associated brainwave patterns, shedding light on the complex nature of sleep and its importance for cognitive function and... --- BrainAccess Board has been updated to 2.4.0 for both Windows and Linux operating systems. BrainAccess Board has been updated to 2. 4. 0 for both Windows and Linux operating systems. The changes for BrainAccess Board in this version include: Improved layout and various interface elements Example BrainAccess Board application, that could be used as a template for designing own application using Board and Python programming language The newest firmware update included in this Board release. You will be asked to update the firmware of your BrainAccess device after connection with the Board The new BrainAccess Board version is available for download here. --- BrainAccess SDK has been updated to 3.4.0 for both Windows and Linux operating systems. BrainAccess SDK has been updated to 3. 4. 0 for both Windows and Linux operating systems. This release includes various bug fixes. Please do not forget to update your BrainAccess devices before using the SDK. This can be done using the newest version of BrainAccess Board software (link to Board release note or download). The new BrainAccess SDK version is available for download here. --- The BrainAccess team has been testing a new BrainAccess Mobile App for hyperscanning applications. The app enables connecting BrainAccess EEG devices to mobile devices such as phones and tablets and re-streaming data to the local network. Therefore, this provides a convenient and cost effective way for setting up hyperscanning experiments. This becomes particularly crucial when the number of devices and participants increases. Coupled with the BrainAccess Board software, Neurotechnology can now offer large-scale hyperscanning solutions. BrainAccess Mobile App official release is planned for December 2024 on Android devices and support for iOS devices will follow next year. Please read below for the details on the hyperscanning experiment involving 5 participants and a video stimulus. Hyperscanning Experiment A group of five participants wore the BrainAccess Halo devices, portable dry-contact EEG headsets. Each participant had an Android phone with BrainAccess mobile app installed and used it to connect to their HALO device via Bluetooth. The app collected data from the devices and re-streamed data to the local network using WiFi connection. Participants were watching a number of commercial ads presented on a TV screen, annotations on each frame change in the video were sent to the local network as well. The BrainAccess Board software running on a PC was used to collect all the streams from HALO devices together with frame annotations and save the data for a later processing and analysis. Both BrainAccess Mobile App and BrainAccess Board use Lab streaming layer (LSL) for data synchronization ensuring that all the streams... --- BrainAccess is pleased to be the sponsor of the Neurohackathon "Heroes of the Brain", a 24-hour programming marathon organized by the Neuron Science Club at Wroclaw University of Science and Technology on November 16-17 in Wroclaw. We will be providing the BrainAccess HALO devices and BrainAccess Standard Kits, as well as demonstrating the BrainAccess EEG hyperscanning capabilities in a hyperscanning session on tens of people. We look forward to seeing the innovative BCI applications that will be developed using our devices. --- BrainAccess SDK has been updated to 3.1.0 for both Windows and Linux operating systems. BrainAccess SDK has been updated to 3. 1. 0 for both Windows and Linux operating systems. The major changes for this BrainAccess SDK version include: Improved bluetooth communication for stability and improved battery life Implement missed sample tag The new BrainAccess SDK version is available for download here. --- BrainAccess Board has been updated to 2.1.0 for both Windows and Linux operating systems. BrainAccess Board has been updated to 2. 1. 0 for both Windows and Linux operating systems. The major changes for BrainAccess Board in this version include: Improved bluetooth communication for stability and improved battery life Firmware update tool: BrainAccess devices can now be updated using BrainAccess Board BrainAccess Viewer now has scale and sensitivity parameters to adjust EEG signal display The new BrainAccess Board version is available for download here. Scaling/sensitivity parameters in the BrainAccess Viewer can help, for example, suppress the artifact (such as blinks) effects on the signal display --- All BrainAccess devices have now been updated to use Bluetooth Low Energy (BLE) connectivity. All BrainAccess devices have now been updated to use Bluetooth Low Energy (BLE) connectivity. While the footprint and battery sizes of BrainAccess electroencephalographs remain the same, the energy consumption has been reduced significantly. The typical operation times are now: Up to 12 hours for BrainAccess MINI and BrainAccess Standard Kit. Up to 12 hours for BrainAccess MIDI and BrainAccess Extended Kit. Up to 8 hours for BrainAccess MAXI and BrainAccess Extended+ Kit. Devices with serial numbers starting with digits ‘22’ use BLE communication while the older devices that start with digits ‘21’ use classic Bluetooth connectivity. --- BrainAccess Board has been updated to 2.0.0 for both Windows and Linux operating systems. BrainAccess Board has been updated to 2. 0. 0 for both Windows and Linux operating systems. It reflects the BrainAccess Hardware update that started using Bluetooth Low Energy (BLE) connectivity. It results in reduced energy consumption and increased operating times of the devices. See the hardware update note. Main changes in BrainAccess Board: Use BLE communication with BrainAccess devices. It is no longer needed to pair with devices before they can be used by the Board. Other minor changes. BrainAccess devices with serial numbers starting with digits ‘22’ will only work with Board version 2. 0. 0 or higher. Older devices with serial numbers starting with digits ‘21’ will only work with Board versions 1. 1. x. The new BrainAccess Board version is available for download here. --- BrainAccess SDK has been updated to 3.0.0 for both Windows and Linux operating systems. BrainAccess SDK has been updated to 3. 0. 0 for both Windows and Linux operating systems. It reflects the BrainAccess Hardware update that started using Bluetooth Low Energy (BLE) connectivity. It results in reduced energy consumption and increased operating times of the devices. See the hardware update note. Main changes in BrainAccess SDK: Use BLE communication with BrainAccess devices. It is no longer needed to pair with devices before they can be used by the Board. API no longer uses asynchronous calls. BrainAccess devices with serial numbers starting with digits ‘22’ will only work with SDK version 3. 0. 0 or higher. Older devices with serial numbers starting with digits ‘21’ will only work with SDK versions 2. 3. x. The new BrainAccess SDK version is available for download here. --- BrainAccess Board was updated for Linux and the new version 1.1.3 is available for download. BrainAccess Board was updated for Linux and the new version 1. 1. 3 is available for download. It follows Windows update with identical improvement to EEG viewer. See Windows update note for more information. --- BrainAccess Board was updated for Windows and the new version 1. 1. 3 is available for download.   The update mainly sees improvements in the EEG Viewer app: The viewer now features real-time signal quality estimation. Both re-referencing options are now available: average and REST. Zoom-in option added as well so it is possible to investigate particular channels in more detail. Colour scheme adjusted for easier identification between the channels. The Linux version upgrade will follow shortly. --- BrainAccess Extended+ Kit, a 32 channel/electrode EEG system, has been added to the existing BrainAccess Standard and BrainAccess Extended kits. The Extended+ Kit has the same form factor as the Extended Kit and electroencephalographs have compatible connectors. The Extended+ Kit was designed to cater the needs of researchers requiring full brain cortex coverage. Headwear has also been upgraded for all the kits. The EEG cap is now easier to set up as it features location and channel labeling. The new cap material and chin strap improve both comfort and appearance. Snap connectors are now used for connecting and mounting the electrodes on the cap allowing for an easy electrode placement in different locations. --- BrainAccess SDK was updated and the new version 2.3.0 is available for download. BrainAccess SDK was updated and the new version 2. 3. 0 is available for download.   The updates include: BrainAccess Connect library now features EEG signal quality estimation function. It is based purely on the signal properties and could be used as a replacement for impedance measurement based quality estimate. Minor bug fixes. BrainAccess SDK is provided with C and Python API, the links to documentation can be found here. Both Windows and Linux versions are available. --- BrainAccess Board was updated for Windows and the new version 1.1.0 is available for download. BrainAccess Board was updated for Windows and the new version 1. 1. 0 is available for download.   The updates include: Refreshed looks of the interface. Default use of Lab Streaming Layer for data streaming. “File converter” app bug fixes. New apps: “ERP app” for testing experimental setups of event-related potentials. Demo apps for P300 paradigm application: “P300 experiment”, “P300 speller” and “Multiplayer”. “SSVEP arrows” - an SSVEP based brain computer interface (BCI) demo app. “Bands” - brainwave monitoring app The linux version will be also updated in the near future. --- The Neurotechnology team presented their work and products at the recent "Artificial Intelligence Technologies in Medicine: Research and Diagnostics" event held at the Lithuanian Academy of Science. This gathering, focused on the intersection of artificial intelligence and medical advancements, provided an ideal platform for BrainAccess to showcase its technologies and their multifaceted applications. At the event, the researchers from both world, medicine and AI, met and it was a good opportunity for the BrainAccess team to meet professionals from the university and industry as well. Even though the application of AI in medicine is ever expanding, researchers discussed the obstacles in developing new algorithms and applications together with the roles that universities, industry, and the Lithuanian AI Association have or should have to propel AI adoption. BrainAccess products offer a comprehensive hardware and software ecosystem for setting up and performing EEG and BCI experiments. The cornerstone of BrainAccess's offerings lies in its mobile and comfortable dry-contact EEG systems, hyperscanning capabilities, and easy-to-use software. Our team member Dr. Povilas Daniusis engaged in meaningful discussions with other attendees about BrainAccess products and the research the team is undertaking. --- BrainAccess SDK for Linux has been released and will be maintained from now onwards. The Linux version has the same functionality as the Windows equivalent. C/C++ and Python API are provided. The BrainAccess SDK for Linux is available for download here. Make sure to stay tuned for new updates and releases from the BrainAccess. ai team. --- Brain-computer interface (BCI) technology allows us to control devices and machines with our brain signals. This technology is still in its early stages of development, but it has the potential to revolutionize the way we interact with the world around us. There are many potential applications for BCI technology, including disease diagnosis and treatment, neurorehabilitation, personalized learning, and entertainment. As the technology continues to evolve, it is likely to have a major impact on our lives. Advances in technology have made it possible to observe the human brain in ways that were previously inaccessible. A couple of years ago Neurotechnology, a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies, introduced the BrainAccess standard EEG Kit solution, designed for brain-computer interface applications. The company, passionate about the potential for BrainAccess's AI EEG future, develops devices that can be used to measure brain activity and is constantly improving its software that enables studying the brain's response to various stimuli or even making choices on a computer. Osvaldas Putkis, head of the Engineering Department of "Neurotechnology", talks about the brain-computer interface technology, as well as what opportunities it will provide for people and businesses. Brain-computer interface technology: A rapidly evolving field "During the last decade, brain activity scanning technologies have developed extremely rapidly. More and more scientific and business representatives are interested in non-invasive brain research and are considering how to apply it in everyday life. We are talking about a number of areas from neurorehabilitation to meditation, from the treatment of sleep disorders to help in learning and absorbing new information," says Osvaldas Putkis. According to the engineer, non-invasive brain monitoring is carried out by several different methods, but the most popular among them is electroencephalography (EEG). This method allows us to measure the electrical signals associated with neurons' activity that make up the human brain and is cheaper and more convenient than the alternatives. External electrodes are placed on a... --- BrainAccess SDK was updated and the new version 2. 2. 0 is available for download.   The updates include: BCI Connect library now offers ‘fast’ P300 classifiers. Two ‘fast’ P300 models are available: Model that accepts 8 channel EEG data input with electrode setup consistent with BrainAccess Standard EEG Kit setup. Model that accepts 2 channel EEG data from the occipital region, equivalent to BrainAccess HALO headband setup. Read here for more details on the ‘fast’ P300 paradigm. BrainAccess SDK no longer requires installation that setups environmental variables. Dependence on these environmental variables has been removed and SDK is now provided as a zip file. BrainAccess SDK is provided with C and Python API, the links to documentation can be found here. The SDK is available for Windows operating systems, however, a version for Linux Ubuntu can be provided upon request. --- We are glad to announce the release of BrainAccess HALO headband. The headband is a dry-contact electroencephalography (EEG) solution that integrates electrodes, adjustable headwear and electroencephalograph with Bluetooth connectivity into a single semi-flexible band. Here at BrainAccess. ai, we are glad to announce the release of BrainAccess HALO headband. The headband is a dry-contact electroencephalography (EEG) solution that integrates electrodes, adjustable headwear and electroencephalograph with Bluetooth connectivity into a single semi-flexible band. The headband features 4 dry contact electrodes (Fp1, Fp2, O1 and O2) with a common reference electrode located at Fpz position. Therefore, it is ideal for monitoring brainwaves, brain activity related to visual processes, as well as eye and facial muscle movements. The band is adjustable and can fit most head shapes and sizes. The headband cushioning allows for electrodes to fit to the curvature of the head and provide extra support for increased comfort. While HALO is a smaller EEG system, when compared to BrainAccess Standard EEG kit or Extended Kits, its small form factor, portability and affordable price can be of huge advantage in BCI applications. The specifications for BrainAccess HALO device can be found here. BrainAccess HALO is supported by BrainAccess software. --- P300 potential can be observed in EEG recordings when a stimulus of interest or an odd stimulus is shown to a person. Here at BrainAccess. ai, recently we trained a ‘fast’ P300 classifier and were impressed with the results. The new algorithm will be integrated into our eeg software in the near future. P300 potential can be observed in EEG recordings when a stimulus of interest or an odd stimulus is shown to a person. The P300 paradigm can be employed within BCI system technologies to allow users to choose options on the screen or in studying the attention of people to different visual material. It can even be used to detect if a particular information is known by a person, in essence acting as a lie detector.   EEG waveforms when a person is presented with stimulus of interest (target) and of not interest (non-target). The responses here are averaged over many repetitions. A P300 potential is typically observed >300ms after presentation of stimulus. Detecting P300 potential in EEG waveforms is not an easy task as its amplitude is relatively small and is typically buried in a noisy signal. Many repetitions are usually made to recover and identify P300 potential in EEG signals. Our newly trained classifier can work with only 2 EEG electrodes at the occipital region (referenced at FPz) and require only 3 repetitions. This enables using the P300 paradigm with EEG headband systems that are cheaper and easier to set up than full EEG cap systems. In addition to this, the detection algorithm is called ‘fast’ P300 classifier, as the time between two subsequent stimuli is 215 ms... --- ---