Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease.

Shah, Vrutangkumar V; Jagodinsky, Adam; McNames, James; Carlson-Kuhta, Patricia; Nutt, John G; El-Gohary, Mahmoud; Sowalsky, Kristen; Harker, Graham; Mancini, Martina; Horak, Fay B

Shah, Vrutangkumar V; Jagodinsky, Adam; McNames, James; Carlson-Kuhta, Patricia; Nutt, John G; El-Gohary, Mahmoud; Sowalsky, Kristen; Harker, Graham; Mancini, Martina; Horak, Fay B.

Afiliação

Shah VV; Department of Neurology, Oregon Health & Science University, Portland, OR, United States.
Jagodinsky A; APDM Wearable Technologies, A Clario Company, Portland, OR, United States.
McNames J; APDM Wearable Technologies, A Clario Company, Portland, OR, United States.
Carlson-Kuhta P; APDM Wearable Technologies, A Clario Company, Portland, OR, United States.
Nutt JG; Department of Electrical and Computer Engineering, Portland State University, Portland, OR, United States.
El-Gohary M; Department of Neurology, Oregon Health & Science University, Portland, OR, United States.
Sowalsky K; Department of Neurology, Oregon Health & Science University, Portland, OR, United States.
Harker G; APDM Wearable Technologies, A Clario Company, Portland, OR, United States.
Mancini M; APDM Wearable Technologies, A Clario Company, Portland, OR, United States.
Horak FB; Department of Neurology, Oregon Health & Science University, Portland, OR, United States.

Front Neurol ; 14: 1096401, 2023.

Article em En | MEDLINE | ID: mdl-36937534

Palavras-chave

Parkinson's disease; daily life; future falls; gait; inertial sensors; turning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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