Evidence map›Paper›PMID 41890556›Full record

ArticleNature and science of sleep2026

Patch-Type Heart Rate Variability Analysis with Artificial Intelligence for Detection of Obstructive Sleep Apnea.

Ying-Shuo Hsu, Yu-Cheng Lin, Yu-En Kuo, Cheng-Han Chou, Mei-Chun Chou, Yi Chang, Ofer Jacobowitz, Chia-Mo Lin, Shih-Chieh Lo, Terry B J Kuo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature and science of sleep, 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

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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

11 authors.

Ying-Shuo HsuInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-5028-2489
Yu-Cheng LinInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yu-En KuoInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Cheng-Han ChouSchool of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Mei-Chun ChouDepartment of Emergency Medicine, Fu Jen Catholic University Hospital, New Taipei City, Taiwan.
Yi ChangDepartment of Anesthesiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Ofer JacobowitzSleep Department, ENT and Allergy Associates, New York, NY, USA.ORCID 0000-0003-2290-0520
Chia-Mo LinDivision of Chest Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei City, Taiwan.
Shih-Chieh LoInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Terry B J KuoInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-7107-3632
Cheryl C H YangInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obstructive sleep apnea (OSA) affects millions in Taiwan, but common screening tools, such as oximeters and ApneaLink Methods: We enrolled 277 adults with self- or family-observed snoring. All underwent home sleep apnea testing (HSAT) via ApneaLink Results: The AI model achieved 81.4% accuracy, outperforming demographic-based (73%) and previous ECG-based (70.6%) screening. At an apnea-hypopnea index (AHI) cutoff of 15, it showed strong classification for moderate-to-severe OSA (AUC >0.8). Conclusion: The patch-type HRV analyzer with AI analysis provides accurate, low-interference OSA screening, suitable for large-scale clinical and home use.

Indexed as

autonomic nervous system functionhome sleep testingpatch type heart rate analyzer

Identifiers

PMID41890556
PMCPMC13016403

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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.