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March 5, 2026Sleep And Breathing0 citationsOpen Access

Detection of apnea and hypopnea events using a wireless Abdomen-Worn sensor with SpO₂ integration

TDThi Hang DangHMHao MinNSNam-hwan Sung

Key Points

  • The study aims to assess the effectiveness of a wireless abdomen-worn sensor combined with SpO₂ monitoring for detecting apnea and hypopnea events.
  • Data collected from 37 participants using the Soomirang device and type III HSAT (AL)
  • Development of two detection models: SoomOxy with SpO₂ and Soom without SpO₂
  • Evaluation of model performance against traditional HSAT (AL)
  • SoomOxy achieved an area under the curve of 0.9447 for apnea detection
  • SoomOxy achieved an area under the curve of 0.8702 for hypopnea detection
  • Predicted apnea hypopnea index correlation of 0.96
  • Average accuracy of 0.8286 across all severity categories
  • SoomOxy outperformed the Soom model in hypopnea event detection.

Abstract

Polysomnography is the gold standard for diagnosing sleep apnea (SA), but it is costly and not widely available. Home sleep apnea testing (HSAT) offers a more accessible, lower-cost alternative. Type III HSAT typically uses nasal pressure sensors, respiratory inductance plethysmography (RIP) belts, and pulse oximetry; however, nasal sensors and RIP belts may be uncomfortable or unsuitable for some patients. This study assessed whether apnea and hypopnea events can be detected using a wireless abdomen-worn sensor (Soomirang) combined with SpO₂ monitoring, eliminating the need for nasal pressure sensors or RIP belts. Data from 37 participants were collected using the Soomirang device and a typical type III HSAT (AL). Two models were developed for apnea and hypopnea event detection: SoomOxy, combining abdominal and body movement data with SpO₂, and Soom, using abdominal and body movement data alone. Their performance was evaluated against AL. SoomOxy demonstrated strong agreement with AL, achieving an area under the curve of 0.9447 for apnea and 0.8702 for hypopnea detection, a predicted apnea hypopnea index correlation of 0.96, and an average accuracy of 0.8286 across all severity categories. The SoomOxy outperformed Soom model in detecting hypopnea events. A wireless abdomen-worn sensor combined with SpO₂ monitoring can accurately detect and classify apnea and hypopnea events without nasal pressure and RIP belts, offering a practical and more comfortable alternative to conventional HSAT setups.

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Cite This Study

Dang et al. (2026) studied this question.

synapsesocial.com/papers/69a91dc3d6127c7a504c0e58https://doi.org/10.1007/s11325-026-03588-0
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