Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach.

Xinyue Li Michael J Kane Yunting Zhang Wanqi Sun Yuanjin Song Shumei Dong Qingmin Lin Qi Zhu Fan Jiang Hongyu Zhao

Published in: Journal of medical Internet research (2021)

The proposed PML algorithm can effectively conduct circadian rhythm analysis using time-series wearable device data. The application of the method effectively characterized sleep-wake rhythm development and identified the association between daily rhythm formation and motor development during early childhood.

Keyphrases

heart rate
machine learning
atrial fibrillation
big data
electronic health record
blood pressure
physical activity
deep learning
artificial intelligence
sleep quality