There are 13 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...).
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
Python API for Mentalab biosignal aquisition devices
Multimodal Dataset of Freezing of Gait in Parkinson's Disease
Making OpenBCI for Node Reactive
R package to extract muscle synergies from electromyogram
A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends
Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5
A feature extraction toolbox for EMG signals written in MATLAB
MyoConnect alternative for the Myo Armband with OSC protocol
A package for decomposing multi-channel EMG signals into individual motor unit activity.
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
Web tools to do research with Myo
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
Play breakout using the Myo Armband by Thalmic labs using python.
Extract muscle synergies from experimental data obtained using Vicon Nexus using non-negative matrix factorisation.
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
Preprocessing and classify EMG signals, using Tensorflow and Tensorflow Lite to deploy an AI model in a ESP32C3
Myo armband electromyographic readings dataset for various wrist gestures.