There are 12 repositories under emg topic.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
CS198-96: Intro to Neurotechnology @ UC Berkeley
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
PyoMyo - Python Opensource Myo armband library
Low Cost Electroencephalogram Based Brain-Computer-Interface
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
Biosignal Processing in Python
Improved sEMG-based gesture recognition
Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
Python API for Mentalab biosignal aquisition devices
Making OpenBCI for Node Reactive
A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
A feature extraction toolbox for EMG signals written in MATLAB
R package to extract muscle synergies from electromyogram
Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5
A package for decomposing multi-channel EMG signals into individual motor unit activity.
MyoConnect alternative for the Myo Armband with OSC protocol
Web tools to do research with Myo
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
Play breakout using the Myo Armband by Thalmic labs using python.
Myo armband electromyographic readings dataset for various wrist gestures.
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
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
Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.