A Novel Framework Based on FastICA for High Density Surface EMG Decomposition

Chen, Maoqi; Zhou, Ping

doi:10.1109/tnsre.2015.2412038

Public

A Novel Framework Based on FastICA for High Density Surface EMG Decomposition

Published in IEEE Transactions on Neural Systems and Rehabilitation Engineering • Mar 11, 2015

Authors:

Maoqi Chen

Ping Zhou

Abstract

This study presents a progressive FastICA peel-off (PFP) framework for high-density surface electromyogram (EMG) decomposition. The novel framework is based on a shift-invariant model for describing surface EMG. The decomposition process can be viewed as progressively expanding the set of motor unit...

Subject

FastICA

Computer science

Independent component analysis

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