| Project/Area Number |
61440039
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| Research Category |
Grant-in-Aid for General Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Hygiene
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| Research Institution | Okayama University |
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Principal Investigator |
AOYAMA Hideyasu Dept. of Hygiene, Okayama University Medical School, 医学部, 教授 (40032875)
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| Co-Investigator(Kenkyū-buntansha) |
MIURA Mochiyoshi Division of Physical Education, Home Economics and Industrial Arts, Joetsu Unive, 学校教育学部, 教授 (40023600)
OZE Yutaka Dept. of Hygiene, Okayama University Medical School, 医学部, 講師 (50144746)
ITANI Toru Dept. of Hygiene, Okayama University Medical School, 医学部, 助教授 (00072661)
小寺 良成 岡山大学, 医学部, 助手 (10186710)
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| Project Period (FY) |
1986 – 1988
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| Project Status |
Completed (Fiscal Year 1988)
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| Budget Amount *help |
¥14,000,000 (Direct Cost: ¥14,000,000)
Fiscal Year 1988: ¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1987: ¥4,000,000 (Direct Cost: ¥4,000,000)
Fiscal Year 1986: ¥8,000,000 (Direct Cost: ¥8,000,000)
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| Keywords | Muscular Work Load / Electromyography / Muscle Fatigue / Estimation of Muscular Load / EMG Amplitude Analysis / 筋電図周波数分析 / 筋疲労 / 作業中筋負担 / 静的筋負担 / APD分析 / ドリル作業 / VDT作業 / 作業面高 / 熟練度 |
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| Research Abstract |
Three methods to analyze surface electrode electromyogram (EMG) with a micro computer were developed and tested the availability for estimating local muscular load during work. The methods developed were an EMG amplitude probability distribution analyzing method (APD), a method to analyze the length of EMG burst (ALEB), and a method of frequency analysis of EMG with a low-pass filter (FALF).
The results of the availabvility test are as follows; 1) APD is one of the easiest methods to evaluate local muscular load during work by EMG, but can not take into account the length of EMG burst. On the other hand, ALEB can analyze EMG consider-ing the length of EMG burst, but an improvement is necessary to show the results in easily understandable way. 2) FALF is a good method to understand the levels of muscle fatigue continuously with simple equipment, namely with a low-pass filter, micro computer and A/D converter. 3) As mentioned above, the methods developed in this study are considered as being available for estimating local muscular load during work. In future, using the methods developed in this study, investigations for estimating local muscular load during actual work should be carried out to reduce the muscular work load at various kinds of work places.
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