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April 13, 2026Physiological Measurement0 citationsOpen Access

A domain adversarial network for small-sample obstructive sleep apnea detection using a single-lead piezoelectric sensor

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XSXuefeng SongXLXiaoxin LanTHTianyuan Hou

Key Points

  • The aim is to develop a model for detecting obstructive sleep apnea using a single-lead sensor and a domain adversarial network.
  • Utilized a single-lead piezoelectric sensor for data collection.
  • Developed a domain adversarial network to analyze acoustic data.
  • Evaluated the performance in detecting AHI and severity classifications.
  • Assessed user comfort and practicality for home monitoring.
  • The model effectively correlates acoustic signals with AHI scores.
  • Demonstrated reliable severity classification for obstructive sleep apnea.
  • Showed potential for scalable home-based screening.

Abstract

These results indicate that a single-sensor, distribution-aware approach can provide a reliable acoustic surrogate for AHI and clinically relevant severity classification. The proposed wearable and CMAP model offer a practical, comfortable, and cost-effective solution for early clinical triaging, scalable home-based OSA screening and longitudinal monitoring with low user burden.

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Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/69dc87983afacbeac03e9e18https://doi.org/10.1088/1361-6579/ae5e17
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