Open AccessQuantification of high and low sEMG spectral components during sustained isometric contraction
Author(s) -
CostaGarcía Álvaro,
Iáñez Eduardo,
Yokoyama Moeka,
Ueda Sayako,
Okajima Shotaro,
Shimoda Shingo
Publication year - 2022
Publication title -
physiological reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.918
H-Index - 39
ISSN - 2051-817X
DOI - 10.14814/phy2.15296
Subject(s) - isometric exercise , electromyography , contraction (grammar) , muscle fatigue , isotonic , motor unit , muscle contraction , computer science , motor unit recruitment , speech recognition , pattern recognition (psychology) , biological system , artificial intelligence , neuroscience , physical medicine and rehabilitation , anatomy , medicine , biology
Superficial Electromyography (sEMG) spectrum contains aggregated information from several underlying physiological processes. Due to technological limitations, the isolation of these processes is challenging, and therefore, the interpretation of changes in muscle activity frequency is still controversial. Recent studies showed that the spectrum of sEMG signals recorded from isotonic and short‐term isometric contractions can be decomposed into independent components whose spectral features recall those of motor unit action potentials. In this paper sEMG spectral decomposition is tested during muscle fatigue induced by long‐term isometric contraction where sEMG spectral changes have been widely studied. The main goals of this work are to validate spectral component extraction during long‐term isometric muscle activation and the quantification of energy exchange between the low‐ and high‐frequency bands of sEMG signals during muscle fatigue.