[1]. MATLAB implementation of (FAST) ICA decomposition of hd-sEMG signals to motor units:
hdEMG-Decomposition - File Exchange - MATLAB Central (mathworks.cn)
[2]. package for decomposing multi-channel intramuscular and surface EMG signals into individual motor unit activity based off the blind source algorithm described in Negro et al. (2016)
.
EMG_Decomposition - File Exchange - MATLAB Central (mathworks.cn)
[3]. Decomposing raw electromyography data into motor unit action potentials (MUAPs)
[4]. Using supervised learning (Vision Transformer) to decompose HD-sEMG
[5]. UCLA
GitHub - shreeshkarjagi/EMG-Decomposition-Spike-Sorting-: Neuroengineering M260
[6]. 2CFastICA
maoqichen/High-density-surface-EMG-decomposition-by-2CFastICA