EMG processing based measures of fatigue assessment during manual lifting: a review
Manual lifting is one of the common practices used in the industries to transport or move objects to a desired place. Nowadays, even though mechanized equipment is widely available, manual lifting is still considered as an essential way to perform material handling task. Improper lifting strategies...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/61706/ http://psasir.upm.edu.my/id/eprint/61706/1/EMG%20processing%20based%20measures.pdf |
| _version_ | 1848854470598852608 |
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| author | Shair, Ezreen Farina Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Abdullah, Abdul Rahim |
| author_facet | Shair, Ezreen Farina Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Abdullah, Abdul Rahim |
| author_sort | Shair, Ezreen Farina |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Manual lifting is one of the common practices used in the industries to transport or move objects to a desired place. Nowadays, even though mechanized equipment is widely available, manual lifting is still considered as an essential way to perform material handling task. Improper lifting strategies may contribute to musculoskeletal disorders (MSDs), where overexertion contributes as the highest factor. To overcome this problem, electromyography (EMG) signal is used to monitor the workers’ muscle condition and to find maximum lifting load, lifting height and number of repetitions that the workers are able to handle before experiencing fatigue to avoid overexertion. Past researchers have introduced several EMG processing techniques and different EMG features that represent fatigue indices in time, frequency, and time-frequency domain. The impact of EMG processing based measures in fatigue assessment during manual lifting are reviewed in this paper. It is believed that this paper will greatly benefit researchers who need a bird’s eye view of the biosignal processing which are currently available, thus determining the best possible techniques for lifting applications. |
| first_indexed | 2025-11-15T11:10:23Z |
| format | Article |
| id | upm-61706 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:10:23Z |
| publishDate | 2017 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-617062019-01-08T02:18:00Z http://psasir.upm.edu.my/id/eprint/61706/ EMG processing based measures of fatigue assessment during manual lifting: a review Shair, Ezreen Farina Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Abdullah, Abdul Rahim Manual lifting is one of the common practices used in the industries to transport or move objects to a desired place. Nowadays, even though mechanized equipment is widely available, manual lifting is still considered as an essential way to perform material handling task. Improper lifting strategies may contribute to musculoskeletal disorders (MSDs), where overexertion contributes as the highest factor. To overcome this problem, electromyography (EMG) signal is used to monitor the workers’ muscle condition and to find maximum lifting load, lifting height and number of repetitions that the workers are able to handle before experiencing fatigue to avoid overexertion. Past researchers have introduced several EMG processing techniques and different EMG features that represent fatigue indices in time, frequency, and time-frequency domain. The impact of EMG processing based measures in fatigue assessment during manual lifting are reviewed in this paper. It is believed that this paper will greatly benefit researchers who need a bird’s eye view of the biosignal processing which are currently available, thus determining the best possible techniques for lifting applications. Hindawi Publishing Corporation 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61706/1/EMG%20processing%20based%20measures.pdf Shair, Ezreen Farina and Ahmad, Siti Anom and Marhaban, Mohammad Hamiruce and Md Tamrin, Shamsul Bahri and Abdullah, Abdul Rahim (2017) EMG processing based measures of fatigue assessment during manual lifting: a review. BioMed Research International, 2017. art. no. 3937254. pp. 1-12. ISSN 2314-6133; ESSN: 2314-6141 https://www.hindawi.com/journals/bmri/2017/3937254/ 10.1155/2017/3937254 |
| spellingShingle | Shair, Ezreen Farina Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Md Tamrin, Shamsul Bahri Abdullah, Abdul Rahim EMG processing based measures of fatigue assessment during manual lifting: a review |
| title | EMG processing based measures of fatigue assessment during manual lifting: a review |
| title_full | EMG processing based measures of fatigue assessment during manual lifting: a review |
| title_fullStr | EMG processing based measures of fatigue assessment during manual lifting: a review |
| title_full_unstemmed | EMG processing based measures of fatigue assessment during manual lifting: a review |
| title_short | EMG processing based measures of fatigue assessment during manual lifting: a review |
| title_sort | emg processing based measures of fatigue assessment during manual lifting: a review |
| url | http://psasir.upm.edu.my/id/eprint/61706/ http://psasir.upm.edu.my/id/eprint/61706/ http://psasir.upm.edu.my/id/eprint/61706/ http://psasir.upm.edu.my/id/eprint/61706/1/EMG%20processing%20based%20measures.pdf |