Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation.

Jiaxing Liu Yang Zhao Boya Lai Hailiang Wang Kwok Leung Tsui

Published in: JMIR mHealth and uHealth (2020)

Our unsupervised approach can be effectively implemented based on an individual's multifaceted sleep-related data from a commercial wearable device. A personalized model is shown to be necessary given the interindividual variability in estimated parameters.

Keyphrases

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