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DC Field | Value | Language |
---|---|---|
dc.citation.startPage | 104217 | - |
dc.citation.title | APPLIED ERGONOMICS | - |
dc.citation.volume | 116 | - |
dc.contributor.author | Woon, Woojin | - |
dc.contributor.author | Shin, GwanSeob | - |
dc.date.accessioned | 2023-12-31T18:05:08Z | - |
dc.date.available | 2023-12-31T18:05:08Z | - |
dc.date.created | 2023-12-30 | - |
dc.date.issued | 2024-04 | - |
dc.description.abstract | Muscle fatigue monitoring, an important element in a fatigue risk management process, can help optimize work intensity and reduce risks for musculoskeletal injuries. An experiment was conducted to determine whether myoelectric manifestations of muscle fatigue can reflect the pace of fatigue development associated with varying load intensity. Twenty male participants performed elbow flexion-extension movements with alternating hand loads (2 kg vs. 1 kg) for 16 min. The pace of fatigue in the biceps brachii in response to load variation was quantified by electromyographic (EMG) fatigue measures collected during the dynamic elbow flexion-extension movements and periodic submaximal isometric elbow flexion trials. The isometric and dynamic EMG measures, except for the amplitude of dynamic EMG, indicated fatigue development during the 2-kg isotonic movements and partial recovery with the 1 kg load. Study results suggest the potential of EMG measures for fatigue monitoring during dynamic work tasks with varying load intensity. | - |
dc.identifier.bibliographicCitation | APPLIED ERGONOMICS, v.116, pp.104217 | - |
dc.identifier.doi | 10.1016/j.apergo.2023.104217 | - |
dc.identifier.issn | 0003-6870 | - |
dc.identifier.scopusid | 2-s2.0-85181689926 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/67395 | - |
dc.identifier.wosid | 001165865100001 | - |
dc.language | 영어 | - |
dc.publisher | Pergamon Press Ltd. | - |
dc.title | Muscle fatigue tracking during dynamic elbow flexion-extension movements with a varying hand load | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial;Ergonomics;Psychology, Applied | - |
dc.relation.journalResearchArea | Engineering;Psychology | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Surface EMG | - |
dc.subject.keywordAuthor | Myoelectric manifestation | - |
dc.subject.keywordAuthor | Fatigue | - |
dc.subject.keywordAuthor | Recovery | - |
dc.subject.keywordAuthor | Wavelet analysis | - |
dc.subject.keywordPlus | MUSCULAR FATIGUE | - |
dc.subject.keywordPlus | ACTIVE RECOVERY | - |
dc.subject.keywordPlus | RISK-FACTORS | - |
dc.subject.keywordPlus | EMG | - |
dc.subject.keywordPlus | SIGNAL | - |
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