EMG and Joint Angle-Based Machine Learning to Predict Future Joint Angles at the Knee.

Coker, Jordan; Chen, Howard; Schall, Mark C; Gallagher, Sean; Zabala, Michael

Coker, Jordan; Chen, Howard; Schall, Mark C; Gallagher, Sean; Zabala, Michael.

Afiliación

Coker J; Department of Mechanical Engineering, Auburn University, Auburn, AL 36849, USA.
Chen H; Department of Mechanical Engineering, Auburn University, Auburn, AL 36849, USA.
Schall MC; Department of Industrial Engineering, Auburn University, Auburn, AL 36849, USA.
Gallagher S; Department of Industrial Engineering, Auburn University, Auburn, AL 36849, USA.
Zabala M; Department of Mechanical Engineering, Auburn University, Auburn, AL 36849, USA.

Sensors (Basel) ; 21(11)2021 May 22.

Article en En | MEDLINE | ID: mdl-34067477

Asunto(s)

Articulación de la Rodilla; Rodilla; Electromiografía; Humanos; Aprendizaje Automático; Músculo Esquelético

Palabras clave

EMG; joint angle; machine learning; prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rodilla / Articulación de la Rodilla Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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