Parkinson's disease severity clustering based on tapping activity on mobile device.

Surangsrirat, Decho; Sri-Iesaranusorn, Panyawut; Chaiyaroj, Attawit; Vateekul, Peerapon; Bhidayasiri, Roongroj

Surangsrirat, Decho; Sri-Iesaranusorn, Panyawut; Chaiyaroj, Attawit; Vateekul, Peerapon; Bhidayasiri, Roongroj.

Afiliação

Surangsrirat D; Assistive Technology and Medical Devices Research Center, National Science and Technology Development Agency, Pathum Thani, Thailand. decho.sur@nstda.or.th.
Sri-Iesaranusorn P; Mathematical Informatics, Information Science, Nara Institute of Science and Technology, Nara, Japan.
Chaiyaroj A; Entertainment Technology, School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan.
Vateekul P; Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
Bhidayasiri R; Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.

Sci Rep ; 12(1): 3142, 2022 02 24.

Article em En | MEDLINE | ID: mdl-35210451

Assuntos

Aplicativos Móveis; Doença de Parkinson/fisiopatologia; Smartphone; Caminhada; Feminino; Humanos; Masculino; Gravidade do Paciente

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Caminhada / Aplicativos Móveis / Smartphone Limite: Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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