EMG Probability Density Function: A New Way to Look at EMG Signal Filling From Single Motor Unit Potential to Full Interference Pattern

An analytical derivation of the EMG signal's amplitude probability density function (EMG PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of muscle contraction increases. The EMG PDF is found to change from a semi-degenerate distribution to a Laplacian-li...

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Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 31; pp. 1188 - 1198
Main Authors:	Navallas, Javier, Eciolaza, Adrian, Mariscal, Cristina, Malanda, Armando, Rodriguez-Falces, Javier
Format:	Journal Article
Language:	English
Published:	United States IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Amplitudes Convolution Derivation Electromyography Electromyography (EMG) EMG PDF Firing pattern Interference interference pattern Mathematical analysis motor unit Muscle contraction Muscles Muscular function Normal distribution Pattern analysis Probability density function Probability density functions Random variables Recruitment Signal distribution Skeletal muscle Tibialis anterior muscle
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
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