Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study

Functional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damag...

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Main Authors: Naeem, Jannatul, Hamzaid, Nur Azah, Azman, Amelia Wong, Bijak, Manfred
Format: Article
Language:English
English
Published: Walter de Gruyter 2020
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Online Access:http://irep.iium.edu.my/81486/1/81486_Electrical%20stimulator%20with%20mechanomyography-based_new.pdf
http://irep.iium.edu.my/81486/2/81486_Electrical%20stimulator%20with%20mechanomyography-based_scopus.pdf
http://irep.iium.edu.my/81486/
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spelling my.iium.irep.814862020-11-10T02:54:09Z http://irep.iium.edu.my/81486/ Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study Naeem, Jannatul Hamzaid, Nur Azah Azman, Amelia Wong Bijak, Manfred TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Functional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-Time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-Time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions. Walter de Gruyter 2020-08-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/81486/1/81486_Electrical%20stimulator%20with%20mechanomyography-based_new.pdf application/pdf en http://irep.iium.edu.my/81486/2/81486_Electrical%20stimulator%20with%20mechanomyography-based_scopus.pdf Naeem, Jannatul and Hamzaid, Nur Azah and Azman, Amelia Wong and Bijak, Manfred (2020) Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study. Biomedizinische Technik, 65 (4). pp. 461-468. ISSN 0013-5585 https://umexpert.um.edu.my/public_view.php?type=publication&row=OTI4OTY%3D 10.1515/bmt-2019-0191
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
TK7885 Computer engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
TK7885 Computer engineering
Naeem, Jannatul
Hamzaid, Nur Azah
Azman, Amelia Wong
Bijak, Manfred
Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
description Functional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-Time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-Time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions.
format Article
author Naeem, Jannatul
Hamzaid, Nur Azah
Azman, Amelia Wong
Bijak, Manfred
author_facet Naeem, Jannatul
Hamzaid, Nur Azah
Azman, Amelia Wong
Bijak, Manfred
author_sort Naeem, Jannatul
title Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
title_short Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
title_full Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
title_fullStr Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
title_full_unstemmed Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
title_sort electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study
publisher Walter de Gruyter
publishDate 2020
url http://irep.iium.edu.my/81486/1/81486_Electrical%20stimulator%20with%20mechanomyography-based_new.pdf
http://irep.iium.edu.my/81486/2/81486_Electrical%20stimulator%20with%20mechanomyography-based_scopus.pdf
http://irep.iium.edu.my/81486/
https://umexpert.um.edu.my/public_view.php?type=publication&row=OTI4OTY%3D
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score 13.159267