BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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Updated
Mar 14, 2026 - C++
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Preprocessing and classify EMG signals, using Tensorflow and Tensorflow Lite to deploy an AI model in a ESP32C3
This small suite helps you detect bruxism and interrupt it.
A Do It Yourself (DIY) Electromyography (EMG) shield for learning neauroscience with ease.
DIY EMG VR Controller for Oculus Quest 2: low-cost, user-friendly electromyography-based control system with Arduino, MyoWare sensors, and 9gr servo motors. This beginner-oriented project offers a simple one-button setup to overcome input emulation limitations on Meta Quest and SteamVR devices, enabling virtual reality gaming for all #a11y
Controlling your Overwatch character with electromyography sensors (EMG).
Application collecting sEMG data from muscles has been written in C++ Signal feature extraction processing in Matlab
OSC bridge for the Thalmic Myo gesture control armband (cross-platform)
Software files for the DIYEMG kit
Control a differential drive robot by flexing your muscles!
Embedded systems project for non-invasive sleep quality monitoring using ESP32. Integrates ECG, SpO2, EMG, temperature, and motion sensors to capture and analyze physiological data during sleep. Features real-time data transmission and comprehensive sleep pattern analysis.
A modular, open-source prosthetic hand project designed for accessibility, affordability, and customizability. This repository provides hardware designs, firmware, and software tools to enable rapid prototyping and development of advanced prosthetic hands. Ideal for researchers, makers, and anyone interested in assistive technology innovation.
Lab Streaming Layer (LSL) plugin for Apache Cordova. Stream physiological biosignal data from mobile devices to LabRecorder and other LSL consumers. First Cordova plugin for LSL.
(Arduino code) - RehTracker is my Master's thesis project at SDU, Odense, DK.
A bionic prosthesis controlled through DIY muscle sensors attached to an Arduino board
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