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

Wearable Devices and Sensors (634) Machine Learning (959) Tools, Programs and Algorithms (177) Fitness Trackers and Smart Pedometers/Accelerometers (487) mHealth for Wellness, Behavior Change and Prevention (2206) Insomnia and Sleep Hygiene (100) Sleep Monitoring, Sleep Quality, Sleep Disorders (110)

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 (1) Tweetations (1) Metrics

Journals

  1. Wei J, Boger J. Sleep Detection for Younger Adults, Healthy Older Adults, and Older Adults Living With Dementia Using Wrist Temperature and Actigraphy: Prototype Testing and Case Study Analysis. JMIR mHealth and uHealth 2021;9(6):e26462 View