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Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.
Adans-Dester, Catherine; Hankov, Nicolas; O'Brien, Anne; Vergara-Diaz, Gloria; Black-Schaffer, Randie; Zafonte, Ross; Dy, Jennifer; Lee, Sunghoon I; Bonato, Paolo.
Afiliación
  • Adans-Dester C; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Hankov N; School of Health & Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA USA.
  • O'Brien A; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Vergara-Diaz G; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Black-Schaffer R; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Zafonte R; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Dy J; Department of Physical Medicine & Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA USA.
  • Lee SI; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA USA.
  • Bonato P; College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA USA.
NPJ Digit Med ; 3: 121, 2020.
Article en En | MEDLINE | ID: mdl-33024831
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2020 Tipo del documento: Article