This paper is in the following e-collection/theme issue:

AI in Older Adult Care (40) Assisted Living for the Elderly and Nursing Home Care (209) Machine Learning (2076) Dementia and Cognitive Decline (696) Insomnia and Sleep Hygiene (248) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Wearable Devices and Sensors (1133)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72338, first published .
Using Wearable Sensors to Measure and Predict Personal Circadian Lighting Exposure in Nursing Home Residents: Model Development and Validation

Using Wearable Sensors to Measure and Predict Personal Circadian Lighting Exposure in Nursing Home Residents: Model Development and Validation

Using Wearable Sensors to Measure and Predict Personal Circadian Lighting Exposure in Nursing Home Residents: Model Development and Validation

Authors of this article:

Shevvaa Beiglary1 Author Orcid Image ;   Yanxiao Feng2 Author Orcid Image ;   Nan Wang3 Author Orcid Image ;   Neda Ghaeili1 Author Orcid Image ;   Ying-Ling Jao4 Author Orcid Image ;   Yo-Jen Liao4 Author Orcid Image ;   Yuxin Li1 Author Orcid Image ;   Julian Wang1 Author Orcid Image
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