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...

Topology of Surface Electromyogram Signals: Hand Gesture Decoding on Riemannian Manifolds

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Medicine, Neurology, Life Sciences, Biophysics,
surface electromyogram   hand gesture decoding   Riemannian manifold   electrode array   multivariate timeseries  

Topology of Surface Electromyography Signals: Decoding Hand Gestures Using Riemannian Manifolds This paper is authored by Harshavardhana T. Gowda (Department of Electrical and Computer Engineering, University of California, Davis) and Lee M. Miller (Center for Mind and Brain Sciences, Department of Neurophysiology and Behavior, Department of Otolar...