Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning.

Burdack, Johannes; Horst, Fabian; Giesselbach, Sven; Hassan, Ibrahim; Daffner, Sabrina; Schöllhorn, Wolfgang I

Burdack, Johannes; Horst, Fabian; Giesselbach, Sven; Hassan, Ibrahim; Daffner, Sabrina; Schöllhorn, Wolfgang I.

Afiliación

Burdack J; Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University, Mainz, Germany.
Horst F; Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University, Mainz, Germany.
Giesselbach S; Knowledge Discovery, Fraunhofer-Institute of Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany.
Hassan I; Competence Center Machine Learning Rhine-Ruhr (ML2R), Dortmund, Germany.
Daffner S; Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University, Mainz, Germany.
Schöllhorn WI; Faculty of Physical Education, Zagazig University, Zagazig, Egypt.

Front Bioeng Biotechnol ; 8: 260, 2020.

Article en En | MEDLINE | ID: mdl-32351945

Palabras clave

convolutional neural network; data processing; data selection; gait classification; ground reaction force; multi-layer perceptron; random forest classifier; support vector machine

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

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