Prediction of ground reaction force and joint moments based on optical motion capture data during gait.

Mundt, Marion; Koeppe, Arnd; David, Sina; Bamer, Franz; Potthast, Wolfgang; Markert, Bernd

Mundt, Marion; Koeppe, Arnd; David, Sina; Bamer, Franz; Potthast, Wolfgang; Markert, Bernd.

Afiliação

Mundt M; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany. Electronic address: http://www.iam.rwth-aachen.de.
Koeppe A; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
David S; Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.
Bamer F; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.
Potthast W; Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.
Markert B; Institute of General Mechanics, RWTH Aachen University, Aachen, Germany.

Med Eng Phys ; 86: 29-34, 2020 12.

Article em En | MEDLINE | ID: mdl-33261730

Assuntos

Marcha; Redes Neurais de Computação; Algoritmos; Fenômenos Biomecânicos; Humanos; Extremidade Inferior

Palavras-chave

Artificial neural networks; Force plates; Kinetics; LSTM; Supervised learning algorithms

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Marcha Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Med Eng Phys Assunto da revista: BIOFISICA / ENGENHARIA BIOMEDICA Ano de publicação: 2020 Tipo de documento: Article

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