New Index for Muscle Fatigue Quantification in Sustained Static Contraction Using Surface Electromyogram Signal
Publish place: Conference on the Development of Advanced Research in Electrical and Computer Engineering
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ECCIRD01_026
تاریخ نمایه سازی: 6 اردیبهشت 1396
Abstract:
Fatigue is a subjective concept and its definition is very complex, not unique and controversial. The detection and classification of muscle fatigue, provides useful information in many research areas. During a sustained voluntary contraction, even when there is no voluntary change of muscle state, the electromyogram signal can be considered to be non-stationary simply due to the inherent physiology of the organ. Spectral analysis of electromyogram signals has been widely used to estimate localized muscular fatigue. The most commonly used frequency variables in electromyogram studies are mean and median frequency, which are not compatible with non-stationary nature of electromyogram signals. This study, for the first time, employed empirical mode decomposition analysis as a new index for the quantification of muscle fatigue in sustained static contraction using surface electromyogram. The results of this study well- presented that slope of regression line on median frequency is not robust to the variations of frame lengths. In contrast, being based on the local characteristic time scale of the data, empirical mode decomposition is applicable to nonlinear and non-stationary processes. Additionally, being adaptive, this decomposition method is highly efficient.
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Authors
Fariba Biyouki
Department of Biomedical Engineering Shahed UniversityTehran, Iran
Ali Esmaili Jami
Vahdat Institute of Higher Education,Torbat-Jam, Iran
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