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

Wearable Devices and Sensors (903) Machine Learning (1501) Tools, Programs and Algorithms (275) Fitness Trackers and Smart Pedometers/Accelerometers (571) mHealth for Wellness, Behavior Change and Prevention (2922) Insomnia and Sleep Hygiene (177) Sleep Monitoring, Sleep Quality, Sleep Disorders (191)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18370, first published .
Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation

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

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

Authors of this article:

Jiaxing Liu1 Author Orcid Image ;   Yang Zhao1, 2 Author Orcid Image ;   Boya Lai1 Author Orcid Image ;   Hailiang Wang1, 2 Author Orcid Image ;   Kwok Leung Tsui1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (1) Metrics

Jiaxing Liu   1 , MSc ;   Yang Zhao   1, 2 , PhD ;   Boya Lai   1 , MSc, PhD ;   Hailiang Wang   1, 2 , MPhil, MSc, PhD ;   Kwok Leung Tsui   1, 2 , MPhil, PhD

1 School of Data Science, City University of Hong Kong, Kowloon, China (Hong Kong)

2 Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, China (Hong Kong)

Corresponding Author:

  • Yang Zhao, PhD
  • Centre for Systems Informatics Engineering
  • City University of Hong Kong
  • Tat Chee Avenue
  • Kowloon, 999077
  • China (Hong Kong)
  • Phone: 852 34425792
  • Email: yang.zhao@my.cityu.edu.hk