Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle

Proceeding of International Conference on Control System, Computing and Engineering, (ICCSCE 2012) at Penang, Malaysia on 23 November 2012 through 25 November 2012.

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Bibliographic Details
Main Authors: Nizam Uddin, Ahamed, Sundaraj, Kenneth, Prof. Dr., R. Badlishah, Ahmad, Prof. Dr., Matiur J., Rahman, Md. Anamul, Islam, Asraf, Ali
Other Authors: ahamed1557@hotmail.com
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34123
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spelling my.unimap-341232014-04-29T02:40:53Z Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle Nizam Uddin, Ahamed Sundaraj, Kenneth, Prof. Dr. R. Badlishah, Ahmad, Prof. Dr. Matiur J., Rahman Md. Anamul, Islam Asraf, Ali ahamed1557@hotmail.com kenneth@unimap.edu.my badli@unimap.edu.my anamulislam.phd@gmail.co Arm wrestling Electromyography Fatigue M. biceps brachii Muscle contraction Proceeding of International Conference on Control System, Computing and Engineering, (ICCSCE 2012) at Penang, Malaysia on 23 November 2012 through 25 November 2012. Muscle fatigue occurs most frequently due to repetitive movements in our day-to-day activities. The powerful use of muscles might cause a decline in performance. In this study, the effects of muscle fatigue involving only the m. biceps brachii muscle in the dominant upper arm were investigated during the course of an arm wrestling game where the muscle contractions were produced by the winner and loser, respectively. This competition was conducted to monitor the progress/ decline of muscle strength among young players. Eight male subjects (age: 26±3 years, height: 170±13 cm, weight: 70±13 kg and BMI: 21±4) were participated in this study. Electrodes were placed on the middle of the biceps muscle to record the electromyography (EMG) signals. Each group (two players) participated twice with each other, and the EMG signals were recorded. Muscle fatigue was analyzed and compared using the first-time and second-time EMG data. The results were evaluated by calculating the average EMG, root mean square (RMS) and the highest peak of the signal during muscle contraction. Among these, RMS and highest peak values helped in efficiently assessing muscle fatigue. Most of the results indicated that m. biceps muscle reduced its strength during the second game; also, winners performance were found to be better than the losers (according to EMG amplitudes). The current findings regarding the m. biceps brachii muscle might prove to be useful in developing effective injury prevention and rehabilitation strategies, and other physiological measurements related to the upper arm muscles 2014-04-29T02:40:53Z 2014-04-29T02:40:53Z 2013 Working Paper p. 302-306 978-146733143-2 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34123 en Proceeding of International Conference on Control System, Computing and Engineering 2012 (ICCSCE 2012); IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Arm wrestling
Electromyography
Fatigue
M. biceps brachii
Muscle contraction
spellingShingle Arm wrestling
Electromyography
Fatigue
M. biceps brachii
Muscle contraction
Nizam Uddin, Ahamed
Sundaraj, Kenneth, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Matiur J., Rahman
Md. Anamul, Islam
Asraf, Ali
Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
description Proceeding of International Conference on Control System, Computing and Engineering, (ICCSCE 2012) at Penang, Malaysia on 23 November 2012 through 25 November 2012.
author2 ahamed1557@hotmail.com
author_facet ahamed1557@hotmail.com
Nizam Uddin, Ahamed
Sundaraj, Kenneth, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Matiur J., Rahman
Md. Anamul, Islam
Asraf, Ali
format Working Paper
author Nizam Uddin, Ahamed
Sundaraj, Kenneth, Prof. Dr.
R. Badlishah, Ahmad, Prof. Dr.
Matiur J., Rahman
Md. Anamul, Islam
Asraf, Ali
author_sort Nizam Uddin, Ahamed
title Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
title_short Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
title_full Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
title_fullStr Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
title_full_unstemmed Non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
title_sort non-invasive electromyography-based fatigue detection and performance analysis on m. biceps brachii muscle
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34123
_version_ 1643797399549771776
score 13.222552