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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| Autori principali: | , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2025-12-01
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| Serie: | npj Digital Medicine |
| Accesso online: | https://doi.org/10.1038/s41746-025-02254-1 |
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