After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals
Van Hieu Nguyen, Gia Thien Luu, Thien Van Luong, Mai Xuan Trang,, Philippe Ravier, Olivier Buttelli

TL;DR
This paper presents a new surface EMG-based method to analyze muscle after-fatigue conditions, revealing significant activation changes that can aid clinical and sports applications.
Contribution
It introduces a comprehensive analysis of after-fatigue muscle states using amplitude, spectral, and conduction velocity parameters, filling a gap in fatigue research.
Findings
Higher conduction velocity in after-fatigue condition
Spectral density shifts to higher frequencies post-fatigue
Longer contraction times until exhaustion after fatigue
Abstract
This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have mainly focused on the before-fatigue and fatigue conditions. However, a comprehensive analysis of the after-fatigue condition has been overlooked. The proposed method analyzes muscle fatigue indicators at various maximal voluntary contraction (MVC) levels to compare the before-fatigue, fatigue, and after-fatigue conditions using amplitude-based, spectral-based, and muscle fiber conduction velocity (CV) parameters. In addition, the contraction time of each MVC level is also analyzed with the same indicators. The results show that in the after-fatigue condition, the muscle activation changes significantly in the ways such as higher CV, power spectral density shifting to the right, and longer contraction time until…
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Taxonomy
TopicsMuscle activation and electromyography studies · Sports Performance and Training · Advanced Sensor and Energy Harvesting Materials
