Paperdoi:10.1007/s11325-025-03544-4

Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis

Venue listed2025Added Oct 29, 2026

  • HM
  • AA
  • KA
  • JH
  • UM
  • JH
  • KA
  • AG
  • +5

Authors: Hasanain M, Akram A, Kabir A, Javed H, Usman M, Jaffar H, Khan AA, Ali Malik GM, Tabassum M, Faizan M,

+3 moreAnjum MU, Umer M, Surani S

Sleep and Breathing 29(6):368, 2025-11-27

TL;DR

Systematic review and meta-analysis of 59 studies on wearable and contactless OSA detection against PSG or home testing. At AHI > 15, wearables pooled to 0.87 sensitivity, 0.86 specificity and AUC 0.93, and contactless devices to 0.88, 0.87 and 0.92.

  • Form factor: other
Caveats
  • Pooled reference, not a model; AHI >15; sens 0.87 / spec 0.86.
  • Pooled reference, not a model.

Abstract

BACKGROUND​: Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder, affecting an estimated 1 billion adults worldwide. This study evaluates the diagnostic accuracy of wearable and contactless sleep technologies as alternatives to Polysomnography (PSG) for the detection of OSA.MethodsA comprehensive search was conducted from inception to September 2025 on PubMed, Cochrane Library, ClinicalTrials.gov, and ScienceDirect. Studies including adults diagnosed with OSA using PSG or HSAT and evaluated with wearable or contactless devices were included. Studies assessing the diagnostic performance of these consumer devices and reporting diagnostic accuracy measures were included. QUADAS-2 was used to assess the risk of bias, and meta-analysis was performed.ResultsA total of 59 studies were included, with 3,768 participants in the contactless group and 2,743 participants in the wearable group. For AHI > 15, contactless devices demonstrated a pooled sensitivity of 0.88 (95% CI: 0.86-0.90) and specificity of 0.87 (95% CI: 0.82-0.91), with an AUC of 0.92 (95% CI: 0.89-0.94). Wearable devices showed a pooled sensitivity of 0.87 (95% CI: 0.81-0.92), specificity of 0.86 (95% CI: 0.78-0.91), and an AUC of 0.93 (95% CI: 0.90-0.95).ConclusionWearable and contactless sleep technologies demonstrate strong diagnostic accuracy. Their role is likely going to be to screen, and compliment PSG rather than replacing it, and providing utility in settings where access to traditional sleep testing is limited. More validation studies across populations, care settings, and comorbidities are needed to make clinical guidelines.

Verbatim from Europe PMC (opens in a new tab) · Abstract via Europe PMC; © the authors/publisher

Results on ChatPPG leaderboards · 3

All leaderboards
LeaderboardMethodResultRank
Mixed cohorts AUROCSleep apnea (OSA) screeningPooled wearablesCaveat: Pooled reference, not a model; AHI >15; sens 0.87 / spec 0.86.0.93AUROC, higher is betterUnranked
Mixed cohorts sensitivitySleep apnea (OSA) screeningPooled wearablesCaveat: Pooled reference, not a model.87%sensitivity, higher is betterUnranked
Mixed cohorts specificitySleep apnea (OSA) screeningPooled wearablesCaveat: Pooled reference, not a model.86%specificity, higher is betterUnranked

3 rows are credited to this paper. Ranks apply within each leaderboard only, as reported by the source.

Tasks & signals

Keywords

Sleep ApneaOSAMeta AnalysisSystematic ReviewWearablesContactless

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG, SpO2, accelerometer, radar); Form factor (other). Method: Method. Target: Sleep apnea.SetupSignals: PPG, SpO2, accelerometer, radarSignalsPPG, SpO2, accelerometer, radarForm factor: otherForm factorotherMethodMethodTargetSleep apneaSleep apnea

Cite this paper

Cite this paper with the fields recorded here. Check it against the publisher before submitting.

Hasanain, M., Akram, A., Kabir, A., Javed, H., Usman, M., Jaffar, H., Khan, A. A., Ali Malik, G. M., Tabassum, M., Faizan, M., Anjum, M. U., Umer, M., & Surani, S. (2025). Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis. Sleep and Breathing, 29(6), 368. https://doi.org/10.1007/s11325-025-03544-4
Hasanain, M, A Akram, A Kabir, H Javed, M Usman, H Jaffar, and A A Khan, et al. 2025. "Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis." Sleep and Breathing 29 (6): 368. https://doi.org/10.1007/s11325-025-03544-4.
Hasanain, M., Akram, A., Kabir, A., Javed, H., Usman, M., Jaffar, H. and Khan, A. A. et al. (2025) 'Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis', Sleep and Breathing, 29(6), p. 368. doi: 10.1007/s11325-025-03544-4.
Hasanain, M, et al. "Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis." Sleep and Breathing, vol. 29, no. 6, 2025, p. 368. https://doi.org/10.1007/s11325-025-03544-4.
M. Hasanain et al., "Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis," Sleep and Breathing, vol. 29, no. 6, p. 368, 2025, doi: 10.1007/s11325-025-03544-4.
@article{hasanain2025diagnostic,
  title         = {{Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis}},
  author        = {Hasanain, M. and Akram, A. and Kabir, A. and Javed, H. and Usman, M. and Jaffar, H. and Khan, A. A. and Ali Malik, G. M. and Tabassum, M. and Faizan, M. and Anjum, M. U. and Umer, M. and Surani, S.},
  year          = {2025},
  journal       = {Sleep and Breathing},
  volume        = {29},
  number        = {6},
  pages         = {368},
  doi           = {10.1007/s11325-025-03544-4}
}

Added to the ChatPPG research hub