Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality

Myoelectric prostheses have recently shown significant promise for restoring hand function in individuals with upper limb loss or deficiencies, driven by advances in machine learning and increasingly accessible bioelectrical signal acquisition devices. Here, we first introduce and validate a novel e...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Cédric Simar, Martin Colot, Ana-Maria Cebolla, Mathieu Petieau, Guy Cheron, Gianluca Bontempi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-04-01
Subjects:	EMG classification hand gestures machine learning xDAWN filtering neural integrator
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1329411/full