Flexible Machine Learning Algorithms for Clinical Gait Assessment Tools.

Greve, Christian; Tam, Hobey; Grabherr, Manfred; Ramesh, Aditya; Scheerder, Bart; Hijmans, Juha M

Greve, Christian; Tam, Hobey; Grabherr, Manfred; Ramesh, Aditya; Scheerder, Bart; Hijmans, Juha M.

Afiliación

Greve C; Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Tam H; Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Grabherr M; Oro Muscles B.V., 9715 CJ Groningen, The Netherlands.
Ramesh A; Oro Muscles B.V., 9715 CJ Groningen, The Netherlands.
Scheerder B; Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden.
Hijmans JM; Department of Biomedical Engineering, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.

Sensors (Basel) ; 22(13)2022 Jun 30.

Article en En | MEDLINE | ID: mdl-35808456

Asunto(s)

Inteligencia Artificial; Marcha; Algoritmos; Humanos; Aprendizaje Automático; Redes Neurales de la Computación

Palabras clave

clinical gait analysis; deep neural networks; gait partitioning; inertial measurement units; machine learning; reinforcement learning; sensors; wearables

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Marcha Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

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