Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics.

Winner, Taniel S; Rosenberg, Michael C; Jain, Kanishk; Kesar, Trisha M; Ting, Lena H; Berman, Gordon J

Winner, Taniel S; Rosenberg, Michael C; Jain, Kanishk; Kesar, Trisha M; Ting, Lena H; Berman, Gordon J.

Afiliación

Winner TS; W.H. Coulter Dept. Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Rosenberg MC; W.H. Coulter Dept. Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Jain K; Department of Physics, Emory University, Atlanta, Georgia, United States of America.
Kesar TM; Department of Rehabilitation Medicine, Division of Physical Therapy, Emory University, Atlanta, Georgia, United States of America.
Ting LH; W.H. Coulter Dept. Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Berman GJ; Department of Rehabilitation Medicine, Division of Physical Therapy, Emory University, Atlanta, Georgia, United States of America.

PLoS Comput Biol ; 19(10): e1011556, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37889927

Asunto(s)

Marcha; Caminata; Humanos; Anciano; Fenómenos Biomecánicos; Locomoción; Velocidad al Caminar

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Caminata / Marcha Límite: Aged / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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