Large-scale wearable data reveal digital phenotypes for daily-life stress detection.

Smets, Elena; Rios Velazquez, Emmanuel; Schiavone, Giuseppina; Chakroun, Imen; D'Hondt, Ellie; De Raedt, Walter; Cornelis, Jan; Janssens, Olivier; Van Hoecke, Sofie; Claes, Stephan; Van Diest, Ilse; Van Hoof, Chris

Smets, Elena; Rios Velazquez, Emmanuel; Schiavone, Giuseppina; Chakroun, Imen; D'Hondt, Ellie; De Raedt, Walter; Cornelis, Jan; Janssens, Olivier; Van Hoecke, Sofie; Claes, Stephan; Van Diest, Ilse; Van Hoof, Chris.

Afiliación

Smets E; 1Electrical Engineering-ESAT, KU Leuven, Leuven, Belgium.
Rios Velazquez E; 2Imec, Heverlee, Belgium.
Schiavone G; 3Imec, Holst Centre, Eindhoven, The Netherlands.
Chakroun I; 3Imec, Holst Centre, Eindhoven, The Netherlands.
D'Hondt E; 2Imec, Heverlee, Belgium.
De Raedt W; 2Imec, Heverlee, Belgium.
Cornelis J; 2Imec, Heverlee, Belgium.
Janssens O; 2Imec, Heverlee, Belgium.
Van Hoecke S; 4IDLab, Ghent University-imec, Ghent, Belgium.
Claes S; 4IDLab, Ghent University-imec, Ghent, Belgium.
Van Diest I; 5University Psychiatric Center & Department of Neurosciences, KU Leuven, Leuven, Belgium.
Van Hoof C; 6Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.

NPJ Digit Med ; 1: 67, 2018.

Article en En | MEDLINE | ID: mdl-31304344

Palabras clave

Predictive markers; Preventive medicine

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2018 Tipo del documento: Article

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