/ EN
2026-07-24 00:00 Industry News Progress & Expansion Translated from EN

BrainAccess Releases MATLAB API for Direct EEG Data Acquisition

Summary BrainAccess, the EEG system line from Neurotechnology, has released a MATLAB API that lets users connect its wireless dry-electrode headsets over Bluetooth, configure channels and sampling rate, start and stop data streams and pull data straight into MATLAB arrays, work that previously required Python, C or the LSL MATLAB toolbox. The toolbox installs as a single .mltbx package for desktop MATLAB R2025b or newer, mirrors the structure of the existing Python API and supports session annotations and saving directly to .mat files, so recordings can go straight into tools such as Signal Processing Toolbox and EEGLAB. BrainAccess devices, sold in MINI, MIDI, MAXI and HALO models, are widely used in neuroscience research and engineering.
Why it matters Tooling, not electrodes, is what keeps a lab on a given EEG vendor, and shipping a native MATLAB path removes the main reason a MATLAB-based group would have looked elsewhere.

BrainAccess发布MATLAB API,脑电数据直连桌面MATLAB
Image: Neurotechnology

BCIwiki (bciwiki.com) — Neurotechnology, the company behind BrainAccess EEG systems, has announced the release of a MATLAB API that lets users connect to its EEG devices and acquire data directly from desktop MATLAB. According to BrainAccess, the API is a native toolbox that supports Bluetooth connection, configuring EEG channels and sample rate, starting and stopping streams, and pulling data into MATLAB arrays chunk by chunk or over a fixed duration.

Previously, working with BrainAccess hardware meant using Python, C, or relying on the LSL MATLAB toolbox. The new API aims to reduce the friction of switching environments, enabling data to flow directly into tools like Signal Processing Toolbox and EEGLAB, and supports session annotations and saving directly to .mat files. The toolbox installs as a single .mltbx package for desktop MATLAB (R2025b or newer), with setup steps and API reference available in the documentation.

Compiled by BCIwiki from public sources

Sources · 1
brainaccess.ai 2026-07-24

BrainAccess timeline

2026-09 Two Occipital EEG Channels Decode Blinks and Saccades at 72.37% Accuracy 2026-07 BrainAccess Rebuilds Its Board App Interface and Adds AI Assistant Jena All entries →
Read original ↗
Suggest a correction Revisions · none / EN
© 2026 BCIwiki.com Digest Topics Tips Subscribe Revisions About