Journal article
Spectral Analysis of Root-Mean-Square Processed Surface Electromyography Data as a Measure of Repetitive Muscular Exertion
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.56(1), pp.1140-1144
09/2012
DOI: 10.1177/1071181312561248
Abstract
Highly repetitive motion is associated with development of upper extremity musculoskeletal disorders (UEMSDs) among industrial workers, especially when encountered concurrently with forceful exertions. Current measures of “repetitiveness” provide information about the repetitiveness of joint motion, but fail to provide complete information about the repetitiveness of muscular exertion, a more biomechanically meaningful measure of repetition. The current study introduces a novel processing technique in which surface electromyography (sEMG) data is root-mean-square processed prior to computation of the frequency spectrum. The mean power frequency of the resulting power spectrum is the proposed metric for estimation of muscular exertion frequency. The metric was compared to joint movement and applied force frequencies during a series of isometric gripping trials and an industrial simulation. Results suggest that the proposed metric has potential to be a valuable metric to estimate exposure to repetitive muscular exertion.
Details
- Title: Subtitle
- Spectral Analysis of Root-Mean-Square Processed Surface Electromyography Data as a Measure of Repetitive Muscular Exertion
- Creators
- Lauren Gant - University of IowaNathan Fethke - University of IowaFred Gerr - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.56(1), pp.1140-1144
- DOI
- 10.1177/1071181312561248
- ISSN
- 2169-5067
- eISSN
- 2169-5067
- Language
- English
- Date published
- 09/2012
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Occupational and Environmental Health; Epidemiology; Industrial and Systems Engineering; Injury Prevention Research Center
- Record Identifier
- 9984364424202771
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