This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
A powerful toolbox for the analysis of HDsEMG recordings
An open source library for analysis of respiratory EMG
Source code for multiple parameter modelling of synthetic electromyography data.
Myo armband machine learning EMG dataset of various hand gestures
Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs
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
LEGO Mindstorms EV3 TRACK3R control using the Myo armband and a neural network for gesture recognition
OBSS Assignment 2 - Analysis of electromyogram of the uterus (EHG)
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