Saad, Norhashimah Mohd and Zawawi, Tengku Nor Shuhada Tengku and Abdullah, Abdul Rahim and Sudirman, Rubita (2023) Electromyography features information based on functional range of motion for health screening program. In: 16th International Conference on Advanced Technologies for Communications, ATC 2023, 19 October 2023through 21 October 2023, Da Nang.
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Abstract
Musculoskeletal disorders (MSDs) are the most common cause of illnesses in the industrial sector. In Malaysia, injured workers from the industry are allocated at the Social Security Organization (SOCSO) Rehabilitation Centre to monitor the injuries and analyze the patients who are able to retain work. However, the screening process has the disadvantage of efficiency since the results are obtained manually based on the instructor's observation rather than providing objective assessment. Electromyography (EMG) pattern recognition is a promising rehabilitation strategy that may enhance muscular function's observation. This study investigates EMG signal's behavior of left and right biceps brachii while using a functional range of motion (FROM) for health screening program (HSP). Two activities which are axial rotational reach and upper-level reach were evaluated. The findings indicate that the right biceps brachii is tend to have higher muscle performance compared to the left biceps and the force of the right and left biceps is greater during the axial rotational reach than upper-level reach activity. The results of this study will assist rehabilitation centers in evaluating the performances of their patients. These features information can be used as indicators for screening patients treated in rehabilitation centers that needs further rehabilitation program or retain to work.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Electromyography, Health screening program, Rehabilitation |
Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
Depositing User: | Maizatul Najwa Ahmad |
Date Deposited: | 16 Oct 2024 08:20 |
Last Modified: | 16 Oct 2024 08:20 |
URI: | http://eprints.utem.edu.my/id/eprint/27964 |
Statistic Details: | View Download Statistic |
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