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時系列データにおける規則性の定量化 : 運動解析へのApproximate Entropyの適用

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タイトル: 時系列データにおける規則性の定量化 : 運動解析へのApproximate Entropyの適用
その他のタイトル: Quantifying the regularity of time-series data : Application of approximate entropy to human movement analysis
著者: 阿部, 匡樹 著作を一覧する
山田, 憲政 著作を一覧する
キーワード: entropy
movement pattern
発行日: 1998年
出版者: 日本バイオメカニクス学会
誌名: バイオメカニクス研究
巻: 2
号: 2
開始ページ: 82
終了ページ: 91
抄録: Approximate Entropy (Ap entropy) was developed as a method to quantify regularity of time-series data. The aim of this study was to examine problems in the application of Ap entropy to human movement data and to distinguish movement patterns by quantifying the regularity of experimental human movement data. The following results were obtained: 1) For a relatively periodic time-series function with a small number of periods,difference in both the number of data points and number of periods affected the Ap entropy value. Thus,for the application of Ap entropy,the number of data points and the number of periods should be made the same. 2) Under the experimental conditions of this study,the change in the Ap entropy value was in accordance with subjective judgment of movement patterns. This indicates that Ap entropy is an effective parameter for quantitatively distinguishing movement patterns in data that differ in time-series regularity.
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 山田 憲政


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