Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes

Muscle exhaustion is one of the most common injury types affecting most athletes and even ordinary people. This study aims to understand more about athletes’ muscular fatigue, especially track and field athletes such as sprinters. The electromyography (EMG) shall capture the muscle activation signal...

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Published in:Lecture Notes in Bioengineering
Main Author: Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161466682&doi=10.1007%2f978-981-99-0297-2_21&partnerID=40&md5=3522e1a511108aed4503a1964e9044b5
id 2-s2.0-85161466682
spelling 2-s2.0-85161466682
Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
2023
Lecture Notes in Bioengineering


10.1007/978-981-99-0297-2_21
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161466682&doi=10.1007%2f978-981-99-0297-2_21&partnerID=40&md5=3522e1a511108aed4503a1964e9044b5
Muscle exhaustion is one of the most common injury types affecting most athletes and even ordinary people. This study aims to understand more about athletes’ muscular fatigue, especially track and field athletes such as sprinters. The electromyography (EMG) shall capture the muscle activation signals, specifically on the leg muscles, as both gastrocnemius muscles quickly became fatigued during the calf raise exercise. The electricity flow through the calf muscle can be measured via EMG, reflecting the amount of fatigue experienced. In this research, three selected athletes were recruited as the test subject. The EMG sensor was attached to the calf muscle of the athlete during the calf raise exercise and the subject was instructed to maintain composure until fatigue set in. Using the ProEMG software, the data was transferred to the computer for further analysis. The preliminary result found that the average median frequency dropped to 6.13 ± 0.03%, and the root mean square amplitude increased by 11.98 ± 0.02% during fatigue conditions. The endurance time for each subject varies, depending on the physical properties of the body and performance experience. The understanding from the findings is pivotal for achieving optimal muscular strength and endurance development and reducing the prospect of training-related injuries to sport-person. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Springer Science and Business Media Deutschland GmbH
2195271X
English
Conference paper

author Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
spellingShingle Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
author_facet Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
author_sort Azman M.Z.C.; Mat Jusoh M.A.; Khusaini N.S.
title Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
title_short Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
title_full Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
title_fullStr Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
title_full_unstemmed Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
title_sort Detection of Localized Muscle Fatigue by Using Wireless EMG Among Track and Field Athletes
publishDate 2023
container_title Lecture Notes in Bioengineering
container_volume
container_issue
doi_str_mv 10.1007/978-981-99-0297-2_21
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161466682&doi=10.1007%2f978-981-99-0297-2_21&partnerID=40&md5=3522e1a511108aed4503a1964e9044b5
description Muscle exhaustion is one of the most common injury types affecting most athletes and even ordinary people. This study aims to understand more about athletes’ muscular fatigue, especially track and field athletes such as sprinters. The electromyography (EMG) shall capture the muscle activation signals, specifically on the leg muscles, as both gastrocnemius muscles quickly became fatigued during the calf raise exercise. The electricity flow through the calf muscle can be measured via EMG, reflecting the amount of fatigue experienced. In this research, three selected athletes were recruited as the test subject. The EMG sensor was attached to the calf muscle of the athlete during the calf raise exercise and the subject was instructed to maintain composure until fatigue set in. Using the ProEMG software, the data was transferred to the computer for further analysis. The preliminary result found that the average median frequency dropped to 6.13 ± 0.03%, and the root mean square amplitude increased by 11.98 ± 0.02% during fatigue conditions. The endurance time for each subject varies, depending on the physical properties of the body and performance experience. The understanding from the findings is pivotal for achieving optimal muscular strength and endurance development and reducing the prospect of training-related injuries to sport-person. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
publisher Springer Science and Business Media Deutschland GmbH
issn 2195271X
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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