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局所準定常処理による運動時咀嚼筋筋電図の特徴づけ
http://hdl.handle.net/10191/20186
http://hdl.handle.net/10191/20186b584fdeb-1820-440e-ba05-4e169edc2174
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2012-10-24 | |||||
タイトル | ||||||
タイトル | 局所準定常処理による運動時咀嚼筋筋電図の特徴づけ | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | 局所準定常処理による運動時咀嚼筋筋電図の特徴づけ | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
その他のタイトル | ||||||
その他のタイトル | Characterization of Masticatory EMG during Movement by a Locally Quasi-Stationary Processing | |||||
著者 |
木竜, 徹
× 木竜, 徹× 飯島, 泰蔵× 斉藤, 義明× 石岡, 靖 |
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著者別名 | ||||||
識別子 | 38787 | |||||
識別子Scheme | WEKO | |||||
姓名 | Kiryu, Tohru | |||||
著者別名 | ||||||
識別子 | 38788 | |||||
識別子Scheme | WEKO | |||||
姓名 | Iijima, Taizo | |||||
著者別名 | ||||||
識別子 | 38789 | |||||
識別子Scheme | WEKO | |||||
姓名 | Saitoh, Yoshiaki | |||||
著者別名 | ||||||
識別子 | 38790 | |||||
識別子Scheme | WEKO | |||||
姓名 | Ishioka, Kiyoshi | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | It is of interest to characterize a dynamic function of muscle during movement, which is a non-stationary case, from surface EMG signals. This paper presents a new approach. This is based on a block algorithm in which a signal is divided in time into blocks and time-varying parameters are estimated in each block. A locally quasi-stationary processing, which is proposed here, is the method to estimate the parameters of an AR (autoregressive) model more precisely. It is assumed that an AR model represents a surface EMG generation system. There have been many methods for the non-stationary analysis, for example, the synchronous averaging in stochastic approaches and the estimation methods of short-time power spectrum and system function by a locally stationary processing. However, the synchronous averaging method is restricted to the evoked responses of EEG or EMG and the locally stationary processing is not sufficient for essentially non-stationary signals. In this paper, AR parameters were estimated from the surface EMG of masseter muscle by the locally quasi-stationary processing and the results were compared with the parameters by the conventional locally stationary processing. There are non-stationary intervals around evoked response or onset of masticatory EMG. AR parameters are linear prediction coefficients, reflection coefficients and poles. As the results, the estimated characteristics of the time-varying parameters were reasonable in relation to the locus of lower jaw movement and the significant differences were showed in the non-stationary intervals. | |||||
書誌情報 |
医用電子と生体工学 en : 医用電子と生体工学 巻 25, 号 3, p. 185-191, 発行日 1987-09 |
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出版者 | ||||||
出版者 | 日本ME学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 00213292 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00016981 | |||||
著者版フラグ | ||||||
値 | publisher |