Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band
Biceps brachii muscle illness is one of the common physical disabilities that requires rehabilitation exercises in order to build up the strength of the muscle after surgery. It is also important to monitor the condition of the muscle during the rehabilitation exercise through electromyography (EMG)...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2017
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| Online Access: | http://eprints.utm.my/74912/1/NuradebahBurhan_AnalysisoftheBicepsBrachiiMuscle.pdf |
| _version_ | 1796862280290271232 |
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| author | Burhan, N. Kasno, M. A. Ghazali, R. Said, M. R. Abdullah, S. S. Jali, M. H. |
| author_facet | Burhan, N. Kasno, M. A. Ghazali, R. Said, M. R. Abdullah, S. S. Jali, M. H. |
| author_sort | Burhan, N. |
| collection | ePrints |
| description | Biceps brachii muscle illness is one of the common physical disabilities that requires rehabilitation exercises in order to build up the strength of the muscle after surgery. It is also important to monitor the condition of the muscle during the rehabilitation exercise through electromyography (EMG) signals. The purpose of this study was to analyse and investigate the selection of the best mother wavelet (MWT) function and depth of the decomposition level in the wavelet denoising EMG signals through the discrete wavelet transform (DWT) method at each decomposition level. In this experimental work, six healthy subjects comprised of males and females (26 ± 3.0 years and BMI of 22 ± 2.0) were selected as a reference for persons with the illness. The experiment was conducted for three sets of resistance band loads, namely, 5 kg, 9 kg, and 16 kg, as a force during the biceps brachii muscle contraction. Each subject was required to perform three levels of the arm angle positions (30°, 90°, and 150°) for each set of resistance band load. The experimental results showed that the Daubechies5 (db5) was the most appropriate DWT method together with a 6-level decomposition with a soft heursure threshold for the biceps brachii EMG signal analysis. |
| first_indexed | 2024-03-05T20:09:13Z |
| format | Article |
| id | utm.eprints-74912 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:09:13Z |
| publishDate | 2017 |
| publisher | Hindawi Limited |
| record_format | dspace |
| spelling | utm.eprints-749122018-03-22T10:57:49Z http://eprints.utm.my/74912/ Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band Burhan, N. Kasno, M. A. Ghazali, R. Said, M. R. Abdullah, S. S. Jali, M. H. TK Electrical engineering. Electronics Nuclear engineering Biceps brachii muscle illness is one of the common physical disabilities that requires rehabilitation exercises in order to build up the strength of the muscle after surgery. It is also important to monitor the condition of the muscle during the rehabilitation exercise through electromyography (EMG) signals. The purpose of this study was to analyse and investigate the selection of the best mother wavelet (MWT) function and depth of the decomposition level in the wavelet denoising EMG signals through the discrete wavelet transform (DWT) method at each decomposition level. In this experimental work, six healthy subjects comprised of males and females (26 ± 3.0 years and BMI of 22 ± 2.0) were selected as a reference for persons with the illness. The experiment was conducted for three sets of resistance band loads, namely, 5 kg, 9 kg, and 16 kg, as a force during the biceps brachii muscle contraction. Each subject was required to perform three levels of the arm angle positions (30°, 90°, and 150°) for each set of resistance band load. The experimental results showed that the Daubechies5 (db5) was the most appropriate DWT method together with a 6-level decomposition with a soft heursure threshold for the biceps brachii EMG signal analysis. Hindawi Limited 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/74912/1/NuradebahBurhan_AnalysisoftheBicepsBrachiiMuscle.pdf Burhan, N. and Kasno, M. A. and Ghazali, R. and Said, M. R. and Abdullah, S. S. and Jali, M. H. (2017) Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band. Journal of Healthcare Engineering, 2017 . ISSN 2040-2295 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030644690&doi=10.1155%2f2017%2f1631384&partnerID=40&md5=b6d4657e3053882e91b83078fa7f0328 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Burhan, N. Kasno, M. A. Ghazali, R. Said, M. R. Abdullah, S. S. Jali, M. H. Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title | Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title_full | Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title_fullStr | Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title_full_unstemmed | Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title_short | Analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| title_sort | analysis of the biceps brachii muscle by varying the arm movement level and load resistance band |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/74912/1/NuradebahBurhan_AnalysisoftheBicepsBrachiiMuscle.pdf |
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