Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure.

Shao, Enze; Mei, Qichang; Ye, Jingyi; Ugbolue, Ukadike C; Chen, Chaoyi; Gu, Yaodong

Shao, Enze; Mei, Qichang; Ye, Jingyi; Ugbolue, Ukadike C; Chen, Chaoyi; Gu, Yaodong.

Afiliación

Shao E; Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
Mei Q; Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
Ye J; Auckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand.
Ugbolue UC; Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
Chen C; School of Health and Life Sciences, University of the West of Scotland, South Lanarkshire, Hamilton G72 0LH, UK.
Gu Y; Faculty of Sports Science, Ningbo University, Ningbo 315211, China.

Bioengineering (Basel) ; 9(9)2022 Aug 23.

Article en En | MEDLINE | ID: mdl-36134957

Palabras clave

cutting movement; deep neural network; inertial sensor; vector coding technique

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioengineering (Basel) Año: 2022 Tipo del documento: Article

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