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circadian rhythms are not captured equal: Exploring Circadian metrics extracted by differentcomputational methods from smartphone accelerometer and GPS sensors in daily life tracking
OBJECTIVE: To identify the differences between circadian rhythm (CR) metrics characterized by different mobile sensors and computational methods. METHODS: We used smartphone tracking and daily survey data from 225 college student participants, applied four methods (survey construct automation, cosin...
Autores principales: | Wu, Congyu, McMahon, Megan, Fritz, Hagen, Schnyer, David M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297448/ https://www.ncbi.nlm.nih.gov/pubmed/35874860 http://dx.doi.org/10.1177/20552076221114201 |
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