Evidence map›Paper›PMID 41774268›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

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

Thi Hang Dang, Hyung-Ki Min, Nam-Hwan Sung, Seong-Mun Kim, Heein Yoon, Franklin Don Bien

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thi Hang DangDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea.
Hyung-Ki MinSB Solutions Inc., Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea.
Nam-Hwan SungSB Solutions Inc., Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea.
Seong-Mun KimDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea.
Heein YoonDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea.
Franklin Don BienDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, South Korea. bien@unist.ac.kr.ORCID 0000-0002-9582-295X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePolysomnography 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.

methodsData 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.

resultsSoomOxy 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.

conclusionA 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.

Indexed as

PolysomnographySleep Apnea, ObstructiveWireless TechnologyAbdomenAdultFemaleHumansMaleMiddle AgedAbdomen-worn sensorApnea hypopnea detectionHome sleep apnea testingSleep apneaSpO₂Wearable device

Identifiers

PMID41774268
PMCPMC12957127

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.