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

Reviews in Digital Mental Health (228) Anxiety and Stress Disorders (1013) Fitness Trackers and Smart Pedometers/Accelerometers (543) Wearable Devices and Sensors (825) Web-based and Mobile Health Interventions (3128) mHealth for Wellness, Behavior Change and Prevention (2754) Digital Biomarkers and Digital Phenotyping (178)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42611, first published .
The Use of Sensors to Detect Anxiety for In-the-Moment Intervention: Scoping Review

The Use of Sensors to Detect Anxiety for In-the-Moment Intervention: Scoping Review

The Use of Sensors to Detect Anxiety for In-the-Moment Intervention: Scoping Review

Authors of this article:

Rosie Dobson1, 2 Author Orcid Image ;   Linwei Lily Li3 Author Orcid Image ;   Katie Garner1 Author Orcid Image ;   Taria Tane3 Author Orcid Image ;   Judith McCool3 Author Orcid Image ;   Robyn Whittaker1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Lagera P, Chan S, Yellowlees P. Asynchronous Technologies in Mental Health Care and Education. Current Treatment Options in Psychiatry 2023;10(2):59 View
  2. Dobson R, Stowell M, Warren J, Tane T, Ni L, Gu Y, McCool J, Whittaker R. Use of Consumer Wearables in Health Research: Issues and Considerations. Journal of Medical Internet Research 2023;25:e52444 View
  3. Chato L, Regentova E. Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data. Journal of Personalized Medicine 2023;13(12):1703 View

Books/Policy Documents

  1. Sun X, Aung A. Proceedings of the 9th IRC Conference on Science, Engineering, and Technology. View