Two-source Validation of Online Surface EMG Decomposition Using Progressive FastICA Peel-off

Engineering, Information Science, Electronic Information, Medicine, Neurology, Life Sciences, Bioengineering,
surface electromyogram   online decomposition   progressive FastICA peel-off   two-source validation   motor unit  

Two-Source Validation Study of Online Surface Electromyogram Decomposition Academic Background Surface electromyogram (SEMG) signals are crucial representations of muscle activity and are widely used in fields such as sports rehabilitation, robotic control, and human-machine interaction. However, SEMG signals are challenging to decompose due to the...