Evaluation of muscle fatigue identification based on EMG feature

The aim of this study was to identify muscle fatigue during sub-maximal contraction on biceps brachii and triceps muscle on upper limb muscle through EMG feature. The relationship between muscle fatigues with EMG feature was evaluated by conducting on six volunteers on their upper limb muscle. The r...

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Main Author:	Nur Amelia Izzati, Mohd Amin
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2016
Subjects:	Q Science (General) TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/16299/ http://umpir.ump.edu.my/id/eprint/16299/ http://umpir.ump.edu.my/id/eprint/16299/1/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Table%20of%20contents-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/2/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Abstract-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/13/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Chapter%201-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/14/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-References-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf

id	ump-16299
recordtype	eprints
spelling	ump-162992017-01-24T03:27:11Z http://umpir.ump.edu.my/id/eprint/16299/ Evaluation of muscle fatigue identification based on EMG feature Nur Amelia Izzati, Mohd Amin Q Science (General) TS Manufactures The aim of this study was to identify muscle fatigue during sub-maximal contraction on biceps brachii and triceps muscle on upper limb muscle through EMG feature. The relationship between muscle fatigues with EMG feature was evaluated by conducting on six volunteers on their upper limb muscle. The raw EMG signal was recorded from biceps brachii muscle and triceps muscle in static posture at 30%, 50% and 70% of their maximum voluntary contraction (MVC). Band pass Butterworth filter (20-1000 Hz) and 1000 Hz of sampling frequency was applied during the experiments. The subjects was instructed to grip the hand dynamometer and the sEMG activity of the biceps brachii muscle and triceps muscle was recorded. Root mean square feature was calculated as EMG amplitude which have been computed in the filtered EMG signal recorded. Regression analysis and analysis of variance (ANOVA) were implemented to determine the significant of the feature with the muscle force. The result shows that muscle fatigue was performed at 70% of MVC at both of muscle. The relationship between 30% and 70% of force was most significant value which was 0.000 (P<0.05) on biceps brachii muscle while most significant value was 0.035 (P<0.05) resulted between 30% and 70% of force on triceps muscle. 2016-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16299/1/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Table%20of%20contents-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16299/2/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Abstract-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16299/13/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Chapter%201-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16299/14/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-References-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf Nur Amelia Izzati, Mohd Amin (2016) Evaluation of muscle fatigue identification based on EMG feature. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:98393&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	Q Science (General) TS Manufactures
spellingShingle	Q Science (General) TS Manufactures Nur Amelia Izzati, Mohd Amin Evaluation of muscle fatigue identification based on EMG feature
description	The aim of this study was to identify muscle fatigue during sub-maximal contraction on biceps brachii and triceps muscle on upper limb muscle through EMG feature. The relationship between muscle fatigues with EMG feature was evaluated by conducting on six volunteers on their upper limb muscle. The raw EMG signal was recorded from biceps brachii muscle and triceps muscle in static posture at 30%, 50% and 70% of their maximum voluntary contraction (MVC). Band pass Butterworth filter (20-1000 Hz) and 1000 Hz of sampling frequency was applied during the experiments. The subjects was instructed to grip the hand dynamometer and the sEMG activity of the biceps brachii muscle and triceps muscle was recorded. Root mean square feature was calculated as EMG amplitude which have been computed in the filtered EMG signal recorded. Regression analysis and analysis of variance (ANOVA) were implemented to determine the significant of the feature with the muscle force. The result shows that muscle fatigue was performed at 70% of MVC at both of muscle. The relationship between 30% and 70% of force was most significant value which was 0.000 (P<0.05) on biceps brachii muscle while most significant value was 0.035 (P<0.05) resulted between 30% and 70% of force on triceps muscle.
format	Undergraduates Project Papers
author	Nur Amelia Izzati, Mohd Amin
author_facet	Nur Amelia Izzati, Mohd Amin
author_sort	Nur Amelia Izzati, Mohd Amin
title	Evaluation of muscle fatigue identification based on EMG feature
title_short	Evaluation of muscle fatigue identification based on EMG feature
title_full	Evaluation of muscle fatigue identification based on EMG feature
title_fullStr	Evaluation of muscle fatigue identification based on EMG feature
title_full_unstemmed	Evaluation of muscle fatigue identification based on EMG feature
title_sort	evaluation of muscle fatigue identification based on emg feature
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16299/ http://umpir.ump.edu.my/id/eprint/16299/ http://umpir.ump.edu.my/id/eprint/16299/1/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Table%20of%20contents-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/2/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Abstract-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/13/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-Chapter%201-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf http://umpir.ump.edu.my/id/eprint/16299/14/Evaluation%20of%20muscle%20fatigue%20identification%20based%20on%20EMG%20feature-References-FKP-Nur%20Amelia%20Izzati%20Mohd%20Amin-CD%2010412.pdf
first_indexed	2023-09-18T22:21:49Z
last_indexed	2023-09-18T22:21:49Z
_version_	1777415707591442432

Evaluation of muscle fatigue identification based on EMG feature

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