Title: Analysis of Surface Electromyography Signals in Transtibial Amputees in Fatigue and Non Fatigue Conditions
Authors: Dr Priyadarshini.C.S, Dr Debbie Aishwarya Sathya
DOI: https://dx.doi.org/10.18535/jmscr/v7i5.41
Abstract
Aim: To analyse rectus femoris muscle activity of subjects with transtibial amputation in sound and amputated leg during isometric contraction until fatigue using surface electromyography signals (sEMG) and multifractal features.
Method and Materials: Eight subjects with unilateral transtibial amputation participated in this study and surface Electromyogram (sEMG) signals were recorded from rectus femoris muscle using standard experimental protocol. The signals were segmented into epochs and each epoch was subjected to multifractal detrended moving average algorithm (MFDMA) algorithm. Four 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 amputated leg (b) nonfatigue and fatigue condition. Statistical analysis used: 2-way ANOVA was used to analyse the multifractal features in nonfatigue and fatigue condition for both sound and amputated leg.
Results: The results show that sEMG signals exhibit multifractal behavior in both the sound and amputated leg. The multifractal features are clearly distinguishable in nonfatigue and fatigue condition for both sound and amputated leg (p-value < 0.001) and proved to be better than the conventional features such as median frequency and root mean square.
Conclusion: The variations due to small and large fluctuations were distinctly seen in multifractal features as compared to conventional features. Hence this technique of multifractal analysis will prove useful as a biomarker to reduce or prevent muscle weakness and fatigue.
Keywords: Transtibial amputation, muscle fatigue, surface electromyography.
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