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Muscle fatigue analysis in transtibial amputees during isometric contraction using surface electromyography signals and multifractal techniques
Published in International Society of Automation (ISA)
2016
Pages: 181 - 188
Abstract
The incidents of lower limb amputation are increasing in the recent years. Understanding sensory-motor deficits due to amputation can help in taking a better decision within amputee rehabilitation. Prolonged and sustained fatigue in lower limb muscles can cause damage and adversely impact movement in the sound and prosthesis sides of amputees. In this study, analysis of isometric muscle fatigue in transtibial amputees was carried out using surface electromyography (sEMG) signals and multifractal detrended moving average algorithm (MFDMA). Eight transtibial amputees (7 unilateral and 1 bilateral) participated in this study and signals were recorded from rectus femoris muscle using standard experimental protocol. The preprocessed signal was segmented into epochs and each epoch was subjected to MFDMA algorithm. Four conventional multifractal features namely, degree of multifractality, maximum and minimum Hurst exponent, strength of multifractality were extracted and compared with median frequency and root mean square trends in (a) sound and amputee (b) nonfatigue and fatigue condition. The results showed that sEMG signals exhibited multifractal characteristics. The degree of multifractality increased with progression of fatigue. The variations due to small and large fluctuations were distinctly seen multifractal features as compared to conventional features. This technique of multifractal analysis can be useful in understanding progressive muscle dynamics, muscle recovery, onset of fatigue, gait analysis and assessment of muscles in amputee rehabilitation. Copyright 2016, ISA All Rights Reserved.
About the journal
JournalProceedings of the 53rd Annual Rocky Mountain Bioengineering Symposium, RMBS 2016 and 53rd International ISA Biomedical Sciences Instrumentation Symposium
PublisherInternational Society of Automation (ISA)
Open AccessNo
Concepts (12)
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    Electromyography
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    Fatigue damage
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    Fractals
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    Gait analysis
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    Muscle
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    PATIENT REHABILITATION
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    MFDMA
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    Multi fractals
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    MUSCLE FATIGUES
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    SURFACE ELECTROMYOGRAPHY
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    Transtibial amputees
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    Artificial limbs