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Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude

Regression model is one of the techniques employed in Joint Analysis of Electromyography Spectrum and Amplitude (JASA) to investigate the behaviour of muscle fatigue indices. However, the analysis of the electromyography signal is influenced by the epoch length and regression model used. To meaningf...

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Main Authors: Mohamad Ishak, Nurul Ain, Khalid, Puspa Inayat, Mahmood, Nasrul Humaimi, Harun, Mokhtar
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/69168/1/NurulAinMohamadIshak2016_Determinationofepochlength.pdf
http://eprints.utm.my/id/eprint/69168/
http://dx.doi.org/10.11113/jt.v78.9445
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spelling my.utm.691682017-11-14T06:23:15Z http://eprints.utm.my/id/eprint/69168/ Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude Mohamad Ishak, Nurul Ain Khalid, Puspa Inayat Mahmood, Nasrul Humaimi Harun, Mokhtar TK Electrical engineering. Electronics Nuclear engineering Regression model is one of the techniques employed in Joint Analysis of Electromyography Spectrum and Amplitude (JASA) to investigate the behaviour of muscle fatigue indices. However, the analysis of the electromyography signal is influenced by the epoch length and regression model used. To meaningfully describe the behaviour of fatigue indices, this study was conducted to determine the appropriate epoch length and regression model for 15-second segment of electromyography signal. Ten subjects participated in this study. With their right forearm and upper arm formed an angle of 90 degree, the subjects were asked to hold a 2-kg dumbbell and stayed in that position for 2 minutes. Surface electromyography (sEMG) was used to record the signal from the biceps brachii muscle. Two fatigue indices were extracted: Root Mean Square (RMS) and Mean Frequency (MNF). The 120-second sEMG signal from each subject was then sliced into 8 segments (15 seconds each). In each segment, the effect of different epoch lengths (1second, 3-second, and 5-second) was studied. Standard Error Estimate (SEE) was used to decide the suitable epoch length. The 3-second and 5-second epoch lengths were found to fit the regression model better (smaller SEE value). When 3-second and 5-second epoch lengths were applied in different regression models (linear and polynomial), polynomial regression was found to better estimate the behaviour of the fatigue indices (higher correlation coefficient). This study concludes that 3-second and 5second epoch length can fit the polynomial regression well. However, fatigue behaviour (pattern of changes in fatigue indices) for every 15-second segment of sEMG signal is better described by JASA using polynomial regression with 3-second epoch length. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/69168/1/NurulAinMohamadIshak2016_Determinationofepochlength.pdf Mohamad Ishak, Nurul Ain and Khalid, Puspa Inayat and Mahmood, Nasrul Humaimi and Harun, Mokhtar (2016) Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude. Jurnal Teknologi, 78 (42556). pp. 7-13. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v78.9445 DOI:10.11113/jt.v78.9445
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamad Ishak, Nurul Ain
Khalid, Puspa Inayat
Mahmood, Nasrul Humaimi
Harun, Mokhtar
Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
description Regression model is one of the techniques employed in Joint Analysis of Electromyography Spectrum and Amplitude (JASA) to investigate the behaviour of muscle fatigue indices. However, the analysis of the electromyography signal is influenced by the epoch length and regression model used. To meaningfully describe the behaviour of fatigue indices, this study was conducted to determine the appropriate epoch length and regression model for 15-second segment of electromyography signal. Ten subjects participated in this study. With their right forearm and upper arm formed an angle of 90 degree, the subjects were asked to hold a 2-kg dumbbell and stayed in that position for 2 minutes. Surface electromyography (sEMG) was used to record the signal from the biceps brachii muscle. Two fatigue indices were extracted: Root Mean Square (RMS) and Mean Frequency (MNF). The 120-second sEMG signal from each subject was then sliced into 8 segments (15 seconds each). In each segment, the effect of different epoch lengths (1second, 3-second, and 5-second) was studied. Standard Error Estimate (SEE) was used to decide the suitable epoch length. The 3-second and 5-second epoch lengths were found to fit the regression model better (smaller SEE value). When 3-second and 5-second epoch lengths were applied in different regression models (linear and polynomial), polynomial regression was found to better estimate the behaviour of the fatigue indices (higher correlation coefficient). This study concludes that 3-second and 5second epoch length can fit the polynomial regression well. However, fatigue behaviour (pattern of changes in fatigue indices) for every 15-second segment of sEMG signal is better described by JASA using polynomial regression with 3-second epoch length.
format Article
author Mohamad Ishak, Nurul Ain
Khalid, Puspa Inayat
Mahmood, Nasrul Humaimi
Harun, Mokhtar
author_facet Mohamad Ishak, Nurul Ain
Khalid, Puspa Inayat
Mahmood, Nasrul Humaimi
Harun, Mokhtar
author_sort Mohamad Ishak, Nurul Ain
title Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
title_short Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
title_full Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
title_fullStr Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
title_full_unstemmed Determination of epoch length and regression model for 15-second segment of SEMG signal used in joint analysis of electromyography spectrum and amplitude
title_sort determination of epoch length and regression model for 15-second segment of semg signal used in joint analysis of electromyography spectrum and amplitude
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/69168/1/NurulAinMohamadIshak2016_Determinationofepochlength.pdf
http://eprints.utm.my/id/eprint/69168/
http://dx.doi.org/10.11113/jt.v78.9445
_version_ 1643656020990361600
score 13.211869

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