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

Digital Health Reviews (1289) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) Sleep Apnea (26) Wearable Devices and Sensors (888) Respiratory Medicine (83) Artificial Intelligence (1371)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58187, first published .
Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Authors of this article:

Alaa Abd-alrazaq1 Author Orcid Image ;   Hania Aslam1 Author Orcid Image ;   Rawan AlSaad1 Author Orcid Image ;   Mohammed Alsahli2 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Rafat Damseh3 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View