Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach.

Derie, Rud; Robberechts, Pieter; Van den Berghe, Pieter; Gerlo, Joeri; De Clercq, Dirk; Segers, Veerle; Davis, Jesse

Derie, Rud; Robberechts, Pieter; Van den Berghe, Pieter; Gerlo, Joeri; De Clercq, Dirk; Segers, Veerle; Davis, Jesse.

Afiliación

Derie R; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Robberechts P; Department of Computer Science, KU Leuven, Leuven, Belgium.
Van den Berghe P; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Gerlo J; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
De Clercq D; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Segers V; Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
Davis J; Department of Computer Science, KU Leuven, Leuven, Belgium.

Front Bioeng Biotechnol ; 8: 33, 2020.

Article en En | MEDLINE | ID: mdl-32117918

Palabras clave

gait analysis; impact loading; machine learning; running biomechanics; tibial shock; wearable sensor

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2020 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suiza

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