Exposure assessment of biomechanical stress in repetitive manual work using spectral analysis
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1993/01/01
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Description:A method for quantitative exposure assessment of physical stress associated with repetitive manual work was developed. A frequency domain approach was used for averaging data from cyclical work elements to reduce biomechanical data. Low force repetitive wrist flexion was used as an example of the feasibility for implementing this approach. Signals from sensors attached to the upper extremities were digitized, coded and recorded onto the audio tracks of video tape in synchronization with video images of the subject. Data reduction, data management and exposure analysis were conducted using computer interactive video tape analysis. Using this method, an experiment was conducted on the effects of repetition rate and repetitive motion on subjective discomfort. Mean discomfort ratings were averaged over five subjects for all experimental conditions of wrist flexion angle and pace. The authors conclude that this approach may allow frequency weighted filters to be developed based on human response to stress at different frequencies. [Description provided by NIOSH]
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ISSN:1071-1813
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Volume:37
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NIOSHTIC Number:nn:00219261
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Citation:Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting, October 11-15, 1993, Seattle, Washington, Designing for Diversity. Santa Monica, CA: Human Factors and Ergonomics Society, 1993 Oct; 37(Ind Erg):669-673
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Contact Point Address:Industrial Engineering Univ of Wisconsin-Madison 1513 University Ave Madison, WI 53706
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Federal Fiscal Year:1993
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Performing Organization:University of Wisconsin Madison, Madison, Wisconsin
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Peer Reviewed:True
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Start Date:19910901
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Source Full Name:Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting, October 11-15, 1993, Seattle, Washington, Designing for Diversity
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End Date:19940831
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Main Document Checksum:urn:sha-512:4e4f6c63a4bc612b6eee1838db39cdcc87fb1b1c1542478ae480fbdfc7b9df516e99d7e050699732ab7f692b13d3972818d966512608c7d133a4cbdafa2c367b
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