Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform.

Meyer, Nicholas; Kerz, Maximilian; Folarin, Amos; Joyce, Dan W; Jackson, Richard; Karr, Chris; Dobson, Richard; MacCabe, James

Meyer, Nicholas; Kerz, Maximilian; Folarin, Amos; Joyce, Dan W; Jackson, Richard; Karr, Chris; Dobson, Richard; MacCabe, James.

Afiliação

Meyer N; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Kerz M; South London and Maudsley National Health Service Foundation Trust, Bethlem Royal Hospital, Beckenham, Kent, United Kingdom.
Folarin A; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Joyce DW; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Jackson R; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Karr C; South London and Maudsley National Health Service Foundation Trust, Bethlem Royal Hospital, Beckenham, Kent, United Kingdom.
Dobson R; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
MacCabe J; Audacious Software, Chicago, IL, United States.

JMIR Mhealth Uhealth ; 6(10): e188, 2018 Oct 30.

Article em En | MEDLINE | ID: mdl-30377146

Palavras-chave

circadian rhythm; mHealth; psychosis; relapse; sleep; smartphone

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: JMIR Mhealth Uhealth Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

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