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

Wearable Devices and Sensors (734) Machine Learning (1193) Tools, Programs and Algorithms (207) Fitness Trackers and Smart Pedometers/Accelerometers (513) mHealth for Wellness, Behavior Change and Prevention (2525) Insomnia and Sleep Hygiene (129) Sleep Monitoring, Sleep Quality, Sleep Disorders (140)

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 (9) 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
  2. Geng D, Qin Z, Wang J, Gao Z, Zhao N. Personalized recognition of wake/sleep state based on the combined shapelets and K-means algorithm. Biomedical Signal Processing and Control 2022;71:103132 View
  3. Galli A, Montree R, Que S, Peri E, Vullings R. An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications. Sensors 2022;22(11):4035 View
  4. Wang W, Chen I, Hershkovich L, Yang J, Shetty A, Singh G, Jiang Y, Kotla A, Shang J, Yerrabelli R, Roghanizad A, Shandhi M, Dunn J. A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications. Sensors 2022;22(20):8016 View
  5. Sunny J, Patro C, Karnani K, Pingle S, Lin F, Anekoji M, Jones L, Kesari S, Ashili S. Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects. Sensors 2022;22(3):756 View
  6. Mitchell R, Goggins R, Lystad R. Synthesis of evidence on the use of ecological momentary assessments to monitor health outcomes after traumatic injury: rapid systematic review. BMC Medical Research Methodology 2022;22(1) View
  7. Ko Y, Kuo P, Wang C, Chen Y, Chuang P, Li S, Chen B, Yang F, Lo Y, Yang Y, Ro S, Jaw F, Lin S, Chen Y. Quantification Analysis of Sleep Based on Smartwatch Sensors for Parkinson’s Disease. Biosensors 2022;12(2):74 View
  8. Anmella G, Corponi F, Li B, Mas A, Sanabra M, Pacchiarotti I, Valentí M, Grande I, Benabarre A, Giménez-Palomo A, Garriga M, Agasi I, Bastidas A, Cavero M, Fernández-Plaza T, Arbelo N, Bioque M, García-Rizo C, Verdolini N, Madero S, Murru A, Amoretti S, Martínez-Aran A, Ruiz V, Fico G, De Prisco M, Oliva V, Solanes A, Radua J, Samalin L, Young A, Vieta E, Vergari A, Hidalgo-Mazzei D. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study. JMIR mHealth and uHealth 2023;11:e45405 View

Books/Policy Documents

  1. Nakari I, Nakashima M, Takadama K. Human Interface and the Management of Information. View