Evidence map›Paper›PMID 42678912›Full record

Observational studyJMIR formative research2026

Characteristics of Abdominal Movement Signals Measured by a Wireless Abdomen-Worn Sensor During Home Sleep Apnea Testing: Pilot Observational Study.

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

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 50, UNIST-gil, Ulsan, 44919, Republic of Korea, 82 10-5545-4800.ORCID 0009-0007-1338-9587
Nam-Hwan SungSB Solutions Inc., Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID 0009-0005-9663-1820
Hyung-Ki MinSB Solutions Inc., Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID 0009-0006-1213-7161
Seongmun KimDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, 50, UNIST-gil, Ulsan, 44919, Republic of Korea, 82 10-5545-4800.ORCID 0000-0002-6883-2773
Heein YoonDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, 50, UNIST-gil, Ulsan, 44919, Republic of Korea, 82 10-5545-4800.ORCID 0000-0002-2947-6999
Franklin BienDepartment of Electrical Engineering, Ulsan National Institute of Science and Technology, 50, UNIST-gil, Ulsan, 44919, Republic of Korea, 82 10-5545-4800.ORCID 0000-0002-9582-295X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory inductance plethysmography (RIP) belts are the standard for measuring thoracoabdominal movements in home sleep apnea testing (HSAT), but are often cumbersome and power-intensive. Objective: This study aimed to characterize abdominal movement signals measured by a wireless, single-point, abdomen-worn sensor to evaluate the sensor's capability to track respiratory dynamics. Methods: Overnight recordings were obtained from 37 participants using a wireless abdomen-worn sensor and a thoracic RIP belt during HSAT. The abdominal movement signal was analyzed for breath detection, respiratory rate (RR) estimation, and waveform similarity relative to the RIP signal. Factors influencing the agreement between the 2 signals were also investigated. Results: Data from 34 participants were analyzed. The abdominal movement signal showed moderate agreement with the thoracic RIP signal, achieving a sensitivity of 82.44%, a positive predictive value of 76.22%, and an Conclusions: Compared with a standard thoracic RIP belt, the single-point, wireless, abdomen-worn sensor tracked basic respiratory metrics and waveform morphology with moderate agreement. These findings show promising baseline performance and suggest its viability as a simplified, low-profile data-acquisition platform for home-based respiratory monitoring.

Indexed as

AbdomenPolysomnographySleep Apnea SyndromesAdultAgedFemaleHumansMaleMiddle AgedMovementPilot ProjectsPlethysmographyWireless Technologyabdomen-worn sensorhome sleep apnea testingsleep apneathoracoabdominal movementwearable devicewireless sensor

Identifiers

PMID42678912
PMCPMC13532689

What OpenQuestion holds

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Read underepoch 390

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.