emg

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

CS198-96: Intro to Neurotechnology @ UC Berkeley

Converting real-time EEG into sounds, music and visual effects

BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.

The programming interface for your body and mind

Low Cost Electroencephalogram Based Brain-Computer-Interface

Making OpenBCI for Node Reactive

Android Myo library with full data access and support for multiple Myos.

Improved sEMG-based gesture recognition

Python API for Mentalab biosignal aquisition devices

Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5

PyoMyo - Python Opensource Myo library

MyoConnect alternative for the Myo Armband with OSC protocol

Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks

SDK of sEMG function of matlab

Web tools to do research with Myo

DIY Myo Gesture Control Arduino-based Controller. Muscle data (EMG, muscle electrodes) are read and processed by simple machine learning algorithm to generate control commands

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data.

Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography Armband"

Deep Learning approaches for sEMG-based gesture recognition

Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification

6DOF tracking with Microsoft HoloLens for emulation of prosthesis training exercises

A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends

R code to extract muscle synergies from electromyogram via non-negative matrix factorization

Play breakout using the Myo Armband by Thalmic labs using python.

Machine learning reduces the amount of necessary maximum voluntary isometric contractions tests of the shoulder muscles