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Unobtrusive inference of diurnal rhythms from smartphone data

Abstract Diurnal rhythms are an integral feature of psychopathology but difficult to measure at scale. Smartphones are ubiquitous and therefore uniquely positioned to measure such rhythms non-invasively and continuously. Here, we propose a digital phenotyping framework to quantify diurnal rhythms. W...

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Xehetasun bibliografikoak
Egile Nagusiak: Loran Knol, Mindy K. Ross, Anisha Nagpal, Andrew P. Burns, Zachery D. Morrissey, Faraz Hussain, Tory A. Eisenlohr-Moul, Christian F. Beckmann, Alex Leow, Andre F. Marquand
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Portfolio 2025-12-01
Saila:npj Digital Medicine
Sarrera elektronikoa:https://doi.org/10.1038/s41746-025-02254-1
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