EMG Processing Based Measures of Fatigue Assessment during Manual Lifting
Joint Authors
Ahmad, Siti Anom
Shair, E. F.
Marhaban, M. H.
Mohd Tamrin, S. B.
Abdullah, A. R.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shair, E. F.& Ahmad, Siti Anom& Marhaban, M. H.& Mohd Tamrin, S. B.& Abdullah, A. R.. 2017. EMG Processing Based Measures of Fatigue Assessment during Manual Lifting. BioMed Research International،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1136581
Modern Language Association (MLA)
Shair, E. F.…[et al.]. EMG Processing Based Measures of Fatigue Assessment during Manual Lifting. BioMed Research International No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1136581
American Medical Association (AMA)
Shair, E. F.& Ahmad, Siti Anom& Marhaban, M. H.& Mohd Tamrin, S. B.& Abdullah, A. R.. EMG Processing Based Measures of Fatigue Assessment during Manual Lifting. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1136581
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136581