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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Congyu, McMahon, Megan, Fritz, Hagen, Schnyer, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297448/
https://www.ncbi.nlm.nih.gov/pubmed/35874860
http://dx.doi.org/10.1177/20552076221114201

Ejemplares similares