A powerful toolbox for the analysis of HDsEMG recordings
-
Updated
Aug 25, 2026 - Python
A powerful toolbox for the analysis of HDsEMG recordings
Decomposition of Neurophysiological Time Series Signals with a Particle Swarm Optimised Independence Estimator
Desktop tool for GPU-accelerated decomposition, review, and editing of high-density EMG recordings.
Autoencoder-based framework for extracting motor-unit modes from EMG signals.
Script for smoothing the Instantaneous Discharge Rate (IDR) of Motor Units (MUs) after HD-sEMG decomposition.
Supplementary figures for article: Context-specific early recruitment of small motor units in the shoulder muscle reflect a reach movement plan
Add a description, image, and links to the motor-units topic page so that developers can more easily learn about it.
To associate your repository with the motor-units topic, visit your repo's landing page and select "manage topics."