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, cosinor...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2022-07-01
|
Series: | Digital Health |
Online Access: | https://doi.org/10.1177/20552076221114201 |