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Updated: Sep 22, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
Quantification of high and low sEMG spectral components during sustained isometric contraction
Álvaro Costa-García1, Eduardo Iáñez2, Moeka Yokoyama1
1CBS-TOYOTA Collaboration Center in the Nagoya Science Park Research and Development Center, Intelligent Behaviour Control Unit (RIKEN), Nagoya, Aichi, Japan.
Abstract:
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.
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