Machine learning-based prediction of joint moments based on kinematics in patients with cerebral palsy.

Ozates, Mustafa Erkam; Karabulut, Derya; Salami, Firooz; Wolf, Sebastian Immanuel; Arslan, Yunus Ziya

Ozates, Mustafa Erkam; Karabulut, Derya; Salami, Firooz; Wolf, Sebastian Immanuel; Arslan, Yunus Ziya.

Afiliação

Ozates ME; Department of Robotics and Intelligent Systems, Institute of Graduate Studies in Science and Engineering, Turkish-German University, Istanbul, Turkey.
Karabulut D; Department of Mechanical Engineering, Faculty of Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Salami F; Clinic for Orthopaedics and Trauma Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Wolf SI; Clinic for Orthopaedics and Trauma Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Arslan YZ; Department of Robotics and Intelligent Systems, Institute of Graduate Studies in Science and Engineering, Turkish-German University, Istanbul, Turkey. Electronic address: yunus.arslan@tau.edu.tr.

J Biomech ; 155: 111668, 2023 06.

Article em En | MEDLINE | ID: mdl-37276682

Assuntos

Paralisia Cerebral; Humanos; Fenômenos Biomecânicos; Estudos Retrospectivos; Marcha; Articulação do Joelho

Palavras-chave

Cerebral palsy; Computational gait analysis; Convolutional neural networks; Gait kinematics; Joint moments; Machine Learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Paralisia Cerebral Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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