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

Wearable Devices and Sensors (678) Machine Learning (1059) Tools, Programs and Algorithms (189) Fitness Trackers and Smart Pedometers/Accelerometers (502) mHealth for Wellness, Behavior Change and Prevention (2352) Insomnia and Sleep Hygiene (109) Sleep Monitoring, Sleep Quality, Sleep Disorders (122)

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 Liu 1 Author Orcid Image ;   Yang Zhao 1, 2 Author Orcid Image ;   Boya Lai 1 Author Orcid Image ;   Hailiang Wang 1, 2 Author Orcid Image ;   Kwok Leung Tsui 1, 2 Author Orcid Image
Article Authors Cited by (8) 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, HK

2 Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, HK

Corresponding Author: