Predicting Severity of Huntington's Disease With Wearable Sensors.

Scheid, Brittany H; Aradi, Stephen; Pierson, Robert M; Baldassano, Steven; Tivon, Inbar; Litt, Brian; Gonzalez-Alegre, Pedro

Scheid, Brittany H; Aradi, Stephen; Pierson, Robert M; Baldassano, Steven; Tivon, Inbar; Litt, Brian; Gonzalez-Alegre, Pedro.

Afiliación

Scheid BH; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.
Aradi S; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States.
Pierson RM; Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Baldassano S; Huntington's Disease Center of Excellence, University of Pennsylvania, Philadelphia, PA, United States.
Tivon I; Department of Neurology, University of South Florida, Tampa, FL, United States.
Litt B; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.
Gonzalez-Alegre P; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States.

Front Digit Health ; 4: 874208, 2022.

Article en En | MEDLINE | ID: mdl-35445206

Palabras clave

Huntington's disease (HD); accelerometer; biosensors; gait; machine learning; movement disorders; wearables

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Digit Health Año: 2022 Tipo del documento: Article

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