Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review
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TLDR
It is shown that some of these indices, like those derived from recurrence plots, from entropy or fractal analysis, can detect MMF efficiently and that more work remains to be done to compare the complexity indices in terms of reliability and sensibility.Abstract:
The surface electromyography (sEMG) records the electrical activity of muscle fibers during contraction: one of its uses is to assess changes taking place within muscles in the course of a fatiguing contraction to provide insights into our understanding of muscle fatigue in training protocols and rehabilitation medicine. Until recently, these myoelectric manifestations of muscle fatigue (MMF) have been assessed essentially by linear sEMG analyses. However, sEMG shows a complex behavior, due to many concurrent factors. Therefore, in the last years, complexity-based methods have been tentatively applied to the sEMG signal to better individuate the MMF onset during sustained contractions. In this review, after describing concisely the traditional linear methods employed to assess MMF we present the complexity methods used for sEMG analysis based on an extensive literature search. We show that some of these indices, like those derived from recurrence plots, from entropy or fractal analysis, can detect MMF efficiently. However, we also show that more work remains to be done to compare the complexity indices in terms of reliability and sensibility; to optimize the choice of embedding dimension, time delay and threshold distance in reconstructing the phase space; and to elucidate the relationship between complexity estimators and the physiologic phenomena underlying the onset of MMF in exercising muscles.read more
Citations
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Reliability of muscle-fiber conduction velocity and fractal dimension of surface EMG during isometric contractions
Matteo Beretta Piccoli,Corrado Cescon,Giuseppe D'Antona,Cristian Zampella,Ron Clijsen,Marco Barbero +5 more
TL;DR: Overall, the findings suggest that during isometric fatiguing contractions, CV and FD slopes are reliable variables, with potential application in clinical populations.
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Relationship between Skin Temperature, Electrical Manifestations of Muscle Fatigue, and Exercise-Induced Delayed Onset Muscle Soreness for Dynamic Contractions: A Preliminary Study
Jose Ignacio Priego-Quesada,Carlos De la Fuente,Marcos Roberto Kunzler,Pedro Pérez-Soriano,David Hervás-Marín,Felipe P. Carpes +5 more
TL;DR: The preliminary results do not support a relationship between skin temperature measured during exercise and either muscle fatigue during exercise or the ability to predict delayed onset muscle soreness 24 h after exercise.
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MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue
Yongqing Zhang,Yongqing Zhang,Siyu Chen,Wenpeng Cao,Peng Guo,Gao Dongrui,Gao Dongrui,Manqing Wang,Jiliu Zhou,Wang Ting +9 more
TL;DR: In this paper, the authors used the sEMG signal to detect muscle fatigue based on the Multi-dimensional Feature Fusion Network (MFFNet), which is composed of Attention Frequency domain Network (AFNet) and Attention Time Domain Network (ATNet).
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