Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal

Maged S. Al-Quraishi; Irraivan Elamvazuthi; Siti Asmah Daud; S. Parasuraman; Alberto Borboni

doi:10.1109/ICIAS.2018.8540632

Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal

Maged S. Al-Quraishi, Irraivan Elamvazuthi, Siti Asmah Daud, S. Parasuraman, Alberto Borboni

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

2 Citations (Scopus)

Abstract

Electromyography (EMG) based control is growing to be a part and parcel of the assistive devices technique today. Nonetheless, high sensitivity of EMG to the muscular fatigue affect the performance of EMG signal as a control input to the assistive devices. In this paper, the influences of muscular fatigue on the ankle joint motion recognition have been investigated. Three shank muscles and two ankle joint movements have been involved in this experiment. In order to assess the muscular fatigue on the motion recognition based on EMG signal, Multilayer Percepteron (MLP) and K Nearest Neighborhood (kNN) were employed. The outcomes of this experiment showed the drastic change in the recognition accuracy of the two ankle joint movements before and after inducing muscular fatigue. The overall classification accuracies for all subjects before fatigue were 97.7% and 97.4% for MLP and kNN respectively. Whereas, the overall classification accuracies for all subjects after fatigue were 92.89% and 91.09% for MLP and kNN respectively.

Original language	English
Title of host publication	International Conference on Intelligent and Advanced System, ICIAS 2018
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781538672693
DOIs	https://doi.org/10.1109/ICIAS.2018.8540632
Publication status	Published - 2018
Event	International Conference on Intelligent and Advanced Systems 2018 - Kuala Lumpur, Malaysia Duration: 13 Aug 2018 → 14 Aug 2018 Conference number: 7th https://ieeexplore.ieee.org/xpl/conhome/8526081/proceeding (Proceedings)

Conference

Conference	International Conference on Intelligent and Advanced Systems 2018
Abbreviated title	ICIAS 2018
Country/Territory	Malaysia
City	Kuala Lumpur
Period	13/08/18 → 14/08/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8526081/proceeding (Proceedings)

Keywords

Ankle joint
Electromyography
Fatigue
Pattern Recognition

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10.1109/ICIAS.2018.8540632

Cite this

@inproceedings{459e364e3d86479ab7f4d64d018cdbfa,

title = "Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal",

abstract = "Electromyography (EMG) based control is growing to be a part and parcel of the assistive devices technique today. Nonetheless, high sensitivity of EMG to the muscular fatigue affect the performance of EMG signal as a control input to the assistive devices. In this paper, the influences of muscular fatigue on the ankle joint motion recognition have been investigated. Three shank muscles and two ankle joint movements have been involved in this experiment. In order to assess the muscular fatigue on the motion recognition based on EMG signal, Multilayer Percepteron (MLP) and K Nearest Neighborhood (kNN) were employed. The outcomes of this experiment showed the drastic change in the recognition accuracy of the two ankle joint movements before and after inducing muscular fatigue. The overall classification accuracies for all subjects before fatigue were 97.7% and 97.4% for MLP and kNN respectively. Whereas, the overall classification accuracies for all subjects after fatigue were 92.89% and 91.09% for MLP and kNN respectively.",

keywords = "Ankle joint, Electromyography, Fatigue, Pattern Recognition",

author = "Al-Quraishi, {Maged S.} and Irraivan Elamvazuthi and Daud, {Siti Asmah} and S. Parasuraman and Alberto Borboni",

note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank Universiti Teknologi PETRONAS and MOHE for providing research grant (0153AB-L28) for supporting this research Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; International Conference on Intelligent and Advanced Systems 2018, ICIAS 2018 ; Conference date: 13-08-2018 Through 14-08-2018",

year = "2018",

doi = "10.1109/ICIAS.2018.8540632",

language = "English",

booktitle = "International Conference on Intelligent and Advanced System, ICIAS 2018",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/8526081/proceeding",

}

Al-Quraishi, MS, Elamvazuthi, I, Daud, SA, Parasuraman, S & Borboni, A 2018, Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal. in International Conference on Intelligent and Advanced System, ICIAS 2018. IEEE, Institute of Electrical and Electronics Engineers, International Conference on Intelligent and Advanced Systems 2018, Kuala Lumpur, Malaysia, 13/08/18. https://doi.org/10.1109/ICIAS.2018.8540632

Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal. / Al-Quraishi, Maged S.; Elamvazuthi, Irraivan; Daud, Siti Asmah et al.
International Conference on Intelligent and Advanced System, ICIAS 2018. IEEE, Institute of Electrical and Electronics Engineers, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal

AU - Al-Quraishi, Maged S.

AU - Elamvazuthi, Irraivan

AU - Daud, Siti Asmah

AU - Parasuraman, S.

AU - Borboni, Alberto

N1 - Conference code: 7th

PY - 2018

Y1 - 2018

N2 - Electromyography (EMG) based control is growing to be a part and parcel of the assistive devices technique today. Nonetheless, high sensitivity of EMG to the muscular fatigue affect the performance of EMG signal as a control input to the assistive devices. In this paper, the influences of muscular fatigue on the ankle joint motion recognition have been investigated. Three shank muscles and two ankle joint movements have been involved in this experiment. In order to assess the muscular fatigue on the motion recognition based on EMG signal, Multilayer Percepteron (MLP) and K Nearest Neighborhood (kNN) were employed. The outcomes of this experiment showed the drastic change in the recognition accuracy of the two ankle joint movements before and after inducing muscular fatigue. The overall classification accuracies for all subjects before fatigue were 97.7% and 97.4% for MLP and kNN respectively. Whereas, the overall classification accuracies for all subjects after fatigue were 92.89% and 91.09% for MLP and kNN respectively.

AB - Electromyography (EMG) based control is growing to be a part and parcel of the assistive devices technique today. Nonetheless, high sensitivity of EMG to the muscular fatigue affect the performance of EMG signal as a control input to the assistive devices. In this paper, the influences of muscular fatigue on the ankle joint motion recognition have been investigated. Three shank muscles and two ankle joint movements have been involved in this experiment. In order to assess the muscular fatigue on the motion recognition based on EMG signal, Multilayer Percepteron (MLP) and K Nearest Neighborhood (kNN) were employed. The outcomes of this experiment showed the drastic change in the recognition accuracy of the two ankle joint movements before and after inducing muscular fatigue. The overall classification accuracies for all subjects before fatigue were 97.7% and 97.4% for MLP and kNN respectively. Whereas, the overall classification accuracies for all subjects after fatigue were 92.89% and 91.09% for MLP and kNN respectively.

KW - Ankle joint

KW - Electromyography

KW - Fatigue

KW - Pattern Recognition

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DO - 10.1109/ICIAS.2018.8540632

M3 - Conference Paper

AN - SCOPUS:85059766873

BT - International Conference on Intelligent and Advanced System, ICIAS 2018

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - International Conference on Intelligent and Advanced Systems 2018

Y2 - 13 August 2018 through 14 August 2018

ER -

Influences of muscular fatigue on ankle joint motion recognition based on electromyography signal

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Keywords

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