Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease.

Greene, Barry R; Premoli, Isabella; McManus, Killian; McGrath, Denise; Caulfield, Brian

Greene, Barry R; Premoli, Isabella; McManus, Killian; McGrath, Denise; Caulfield, Brian.

Afiliação

Greene BR; Kinesis Health Technologies Ltd., D04 V2N9 Dublin, Ireland.
Premoli I; Biomarker Department, Division of Experimental Medicine, H. Lundbeck A/S, 2500 Copenhagen, Denmark.
McManus K; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9RX, UK.
McGrath D; Kinesis Health Technologies Ltd., D04 V2N9 Dublin, Ireland.
Caulfield B; Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.

Sensors (Basel) ; 22(1)2021 Dec 22.

Article em En | MEDLINE | ID: mdl-35009599

Assuntos

Doença de Parkinson; Dispositivos Eletrônicos Vestíveis; Biomarcadores; Feminino; Marcha; Humanos; Masculino; Equilíbrio Postural; Qualidade de Vida

Palavras-chave

Parkinson's disease; Timed Up and Go; digital biomarkers; falls; gait; inertial sensors

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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