PaperarXiv:2507.08399

Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index

Preprint2025Added Sep 26, 2026

  • KA
  • CA
  • PT
  • FB
  • MB
  • DA

Authors: Karen Adam, Clémentine Aguet, Patrick Theurillat, Florent Baty, Maximilian Boesch, Damien Ferrario et al. (9 authors)

arXiv preprint (eess.SP) · Accepted to BMT2025

TL;DR

Sleep apnea is a common chronic sleep-related disorder which is known to be a comorbidity for cerebro- and cardio-vascular disease. Diagnosis of sleep apnea usually requires an overnight polysomnography at the sleep laboratory.

  • Form factor: other

Abstract

Sleep apnea is a common chronic sleep-related disorder which is known to be a comorbidity for cerebro- and cardio-vascular disease. Diagnosis of sleep apnea usually requires an overnight polysomnography at the sleep laboratory. In this paper, we used a wearable device which measures reflectance photoplethysmography (PPG) at the wrist and upper arm to estimate continuous SpO2 levels during sleep and subsequently derive an oxygen desaturation index (ODI) for each patient. On a cohort of 170 patients undergoing sleep apnea screening, we evaluated whether this ODI value could represent a surrogate marker for the apnea-hypopnea index (AHI) for the diagnosis and severity assessment of sleep apnea. As the ODI was simultaneously obtained at the fingertip, upper arm and wrist, we compared ODI diagnostic performance depending on the measurement location. We then further evaluated the accuracy of ODI as a direct predictor for moderate and severe sleep apnea as defined by established AHI thresholds. We found that ODI values obtained at the upper arm were good predictors for moderate or severe sleep apnea, with 86% accuracy, 96% sensitivity and 70% specificity, whereas ODI values obtained at the wrist were less reliable as a diagnostic tool.

Verbatim from arXiv (opens in a new tab) · arXiv metadata (abstracts are released under CC0)

Results on ChatPPG leaderboards

All leaderboards

No results from this paper on ChatPPG leaderboards yet. Browse the leaderboards.

Tasks & signals

Tasks

Sleep stagingSleep apneaSpO₂

Signals

Keywords

sleepapneareflectanceSpO2severity

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG); Wavelengths (red, IR); Form factor (other). Method: Method. Target: Sleep staging; Sleep apnea; SpO₂.SetupSignals: PPGSignalsPPGWavelengths: red, IRWavelengthsred, IRForm factor: otherForm factorotherMethodMethodTargetSleep stagingSleep stagingSleep apneaSleep apneaSpO₂O₂SpO₂
Wavelengths
red, IR

Cite this paper

APA

Adam, K., Aguet, C., Theurillat, P., Baty, F., Boesch, M., Ferrario, D., et al. (2025). Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index. arXiv preprint · Accepted to BMT2025. https://doi.org/10.48550/arXiv.2507.08399

BibTeX

@misc{adam2025unobtrusive,
  title         = {{Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index}},
  author        = {Adam, Karen and Aguet, Clémentine and Theurillat, Patrick and Baty, Florent and Boesch, Maximilian and Ferrario, Damien and others},
  year          = {2025},
  howpublished  = {arXiv preprint · Accepted to BMT2025},
  doi           = {10.48550/arXiv.2507.08399},
  eprint        = {2507.08399},
  archivePrefix = {arXiv}
}

Built from the hub record. Check it against the publisher before submitting.

Added to the ChatPPG research hub