Evaluation of Shoulder Muscular Fatigue Induced during Mouse Operation in a VDT Task
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- MURATA Atsuo
- Department of Computer and Media Technologies, Faculty of Information Sciences, Hiroshima City University
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- ISHIHARA Hiroshi
- Proprietary Department, Digital Electronics Corporation
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Abstract
This study was designed to evaluate localized muscular fatigue induced during mouse operation in a VDT task. Ten male undergraduates from 19 to 23 years old participated in the experiment. The subject performed a pointing task with a PC mouse for about 4 hours. The EMG measurements and psychological rating of fatigue were conducted before the experimental task and after each 30-minutes block during the experimental task. The changes in the Mean Power Frequency (MPF) and Percentage Maximum Voluntary Contraction (%MVC)-shift for the constant cumulative probability in the Amplitude Probability Distribution Function (APDF) with time were explored. The correspondence between the index (MPF or APDF) and the subjective rating of localized muscular fatigue was also examined. The performance was nearly constant across all blocks. The psychological rating of fatigue tended to increase with time. The MPF tended to increase with time, although the main effect of block (time) was not statistically significant. The %MVC-shift tended to increase with time. The correspondence with the perceived sensation of localized muscular fatigue was higher when using the %MVC-shift than when using the MPF. Based on the results, the effectiveness of the indexes used for evaluating localized muscular fatigue was discussed. The %MVC-shift obtained from the APDF was found to be a sensitive index of localized muscular fatigue and corresponded well with the subjective rating of localized muscular fatigue.
Journal
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- IEICE TRANS. INF.&SYST.
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IEICE TRANS. INF.&SYST. 88 (2), 223-229, 2005-02-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1574231877209335936
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- NII Article ID
- 110003214180
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- NII Book ID
- AA10826272
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- ISSN
- 09168532
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- Text Lang
- en
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- Data Source
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- CiNii Articles