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Detection of muscle fatigue by the surface electromyogram and its application
https://doi.org/10.24517/00009832
https://doi.org/10.24517/00009832c1b99636-9cdc-4944-84db-fb66e3d04cf6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-AKITA-J-43.pdf (258.6 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||||
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| 公開日 | 2017-10-03 | |||||||
| タイトル | ||||||||
| タイトル | Detection of muscle fatigue by the surface electromyogram and its application | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||
| 資源タイプ | conference paper | |||||||
| ID登録 | ||||||||
| ID登録 | 10.24517/00009832 | |||||||
| ID登録タイプ | JaLC | |||||||
| 著者 |
Sakurai, Takayuki
× Sakurai, Takayuki× Toda, Masashi× Sakurazawa, Shigeru× Akita, Junichi× Kondo, Kazuaki× Nakamura, Yuichi |
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| 著者別表示 |
秋田, 純一
× 秋田, 純一
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| 提供者所属 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 金沢大学融合研究域融合科学系 / 金沢大学理工研究域電子情報学系 | |||||||
| 書誌情報 |
Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 号 5593148, p. 43-47, 発行日 2010-01-01 |
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| DOI | ||||||||
| 関連タイプ | isIdenticalTo | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | 10.1109/ICIS.2010.130 | |||||||
| 出版者 | ||||||||
| 出版者 | IEEE = Institute of Electrical and Electronics Engineers | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | The muscle is moved by muscle fiber contraction receiving command from the brain. But, energy that moves muscle is not infinity. If muscle get into energy shortage, no matter how send command from the brain, muscle is not moved. Such a temporary muscular dysfunction is muscle fatigue. If muscle becomes excess fatigue condition, it may decrease work efficiency, or muscle strain. If we are able to measure muscle fatigue objectively, improve work efficiency, or avert muscle strain. Therefore, it is necessity to measure muscle fatigue. It is able to objectively measure with a surface electromyogram(EMG). The feature of muscle fatigue are increase in amplitude and make the transition from high frequency spectrum to low frequency spectrum. We evaluate muscle fatigue Mean Power Frequency (MPF). to evaluates frequency of surface EMG.We assume muscle recovery process is converse phenomenon from muscle fatigue, and it is able to evaluate elevated MPF. The purpose of the present study is to design of system that effective training, or improve work efficiency, or avert muscle strain uses feature of muscular fatigue and muscle recovery process. © 2010 IEEE. | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
