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dc.contributor.author김정룡-
dc.date.accessioned2023-08-22T04:05:15Z-
dc.date.available2023-08-22T04:05:15Z-
dc.date.issued2012-05-
dc.identifier.citationINTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, v. 42, NO. 3, Page. 287-292-
dc.identifier.issn0169-8141;1872-8219-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0169814112000200?via%3Dihuben_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/185735-
dc.description.abstractThe aims of this study were to investigate the stationarity of trunk muscle electromyography (EMG) signals at various loads, flexion, twisting and sampling window sizes and to determine the post-processing conditions that improve the quality of frequency analysis in measuring muscle fatigue. Eight healthy individuals participated in the experiment, and the erector spinae muscle was used to collect the signals. All participants performed sustained isometric contractions at various combinations of three loads (0, 25 and 50% MVC), three flexion angles (0, 22.5 and 45 degrees) and five twisting angles (-30, -15, 0, 15, and 30 degrees). The signal collected for 20 s in each experimental task was analyzed using the five window sizes (250, 500, 750, 1000, and 2000 ms). The stationarity of the signal was examined using reverse and modified reverse arrangements tests. We determined the stationary level of the signal to be significantly affected by the window size. It was found that a window size of 750 ms was the optimal window size of the five considered in this study. Relevance to industry: This study focuses on suggesting an operative method to precisely measure the muscle fatigue in a lifting task. The results of this study will help researchers evaluate the risk of low back pain caused by local muscle fatigue measured by electromyography (EMG). (C) 2012 Elsevier B.V. All rights reserved.-
dc.languageen-
dc.publisherELSEVIER-
dc.subjectElectromyography-
dc.subjectLifting-
dc.subjectSpectral analysis-
dc.subjectStationarity-
dc.subjectLow back pain-
dc.subjectFatigue-
dc.titleThe effects of load, flexion, twisting and window size on the stationarity of trunk muscle EMG signals-
dc.typeArticle-
dc.relation.no3-
dc.relation.volume42-
dc.identifier.doi10.1016/j.ergon.2012.02.004-
dc.relation.page287-292-
dc.relation.journalINTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS-
dc.contributor.googleauthorCho, Young Jin-
dc.contributor.googleauthorKim, Jung Yong-
dc.sector.campusE-
dc.sector.daehak소프트웨어융합대학-
dc.sector.departmentICT융합학부-
dc.identifier.pidjungkim-
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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
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