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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Springer Science and Business Media Deutschland GmbH
2023
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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 |
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container_issue |
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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 |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1809678021469143040 |