WalkEEG is a complete, open-source electroencephalography platform — from the PCB design and firmware to the PC visualization software and MATLAB analysis toolkit. Built for researchers, educators, and BCI enthusiasts.
Hardware Revisions
Software Modules
MIT License
WalkEEG is a complete, open-source EEG system designed to make brain-computer interface technology accessible. It captures, transmits, and visualizes electroencephalography signals in real-time.
The project covers the entire signal chain — from the analog front-end PCB and nRF-based wireless firmware to the PC oscilloscope application and MATLAB analysis scripts.
EEG Signal Visualization
From hardware to data processing — a fully open EEG pipeline.
Complete PCB schematics and layout files for the EEG acquisition board. Analog front-end with instrumentation amplifiers, anti-aliasing filters, and high-precision ADC.
nRF52-based firmware with BLE and proprietary RF support. Low-power data streaming from the headset to your computer. Built on Nordic SDK with softdevice integration.
Real-time waveform visualization software (LabVIEW-based). Supports multi-channel EEG display, signal monitoring, and data logging. Available in English and Chinese.
Comprehensive MATLAB toolchain for offline EEG data analysis. Includes demo scripts, filtering, FFT-based spectral analysis, and customizable signal processing pipelines.
From electrode to insight — four simple steps.
EEG electrodes capture brain electrical activity. The analog front-end amplifies and filters the raw signal with precision instrumentation.
The nRF SoC digitizes the signal and streams it wirelessly via BLE or proprietary RF to your computer with low latency.
The PC oscilloscope application displays real-time EEG waveforms. Monitor multiple channels, adjust gain and timebase, and record sessions.
Export and process your data with MATLAB scripts — run FFT, filter artifacts, detect brainwave patterns, and build BCI applications.
WalkEEG is free and open-source. Contribute, fork, or build upon it.
Download the source, build your own EEG, and start exploring brain activity today.