Evidence map›Paper›PMID 34634070›Full record

ArticlePloS one2021

Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire.

Eric Yeh, Eileen Wong, Chih-Wei Tsai, Wenbo Gu, Pai-Lien Chen, Lydia Leung, I-Chen Wu, Kingman P Strohl, Rodney J Folz, Wail Yar and 1 more

Erratum issued 2 registry-linked trialsAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

NCT03997916 nacompletednot on this map

A Validation Investigation of the Accuracy of the Belun Ring, an Innovative Single-channel Four-signal Pulse Oximetry, in Patients Referred to Sleep Lab for Assessment of Obstructive Sleep Apnea

TypeinterventionalSponsorUniversity Hospitals Cleveland Medical CenterRan2019 to 2019Enrolled113ConditionsObstructive Sleep ApneaArmsBelun Ring, PSG
NCT06900530 completednot on this mapstarted 2024, after this paper: background citation

Evaluating Sleep Quality With Emerging Technologies

Typeobservational_patient_registrySponsorCase Western Reserve UniversityRan2024 to 2025Enrolled52ConditionsSnoring, Sleep Disturbances, Hypoxia, Obstructive Sleep Apnea (OSA)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  10. Diagnostic accuracy of the Belun ring in children at risk of obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Observational
  11. OSA diagnosis goes wearable: are the latest devices ready to shine?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Eric YehDivision of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Eileen WongDivision of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Chih-Wei TsaiBelun Technology Company Limited, Sha Tin, Hong Kong.ORCID 0000-0002-2175-478X
Wenbo GuBelun Technology Company Limited, Sha Tin, Hong Kong.
Pai-Lien ChenFHI360, Durham, NC, United States of America.
Lydia LeungBelun Technology Company Limited, Sha Tin, Hong Kong.
I-Chen WuDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.ORCID 0000-0003-2535-0587
Kingman P StrohlDivision of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.ORCID 0000-0001-7740-9013
Rodney J FolzDivision of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Wail YarDepartment of Family Medicine, University Hospitals Cleveland Medical Center, Cleveland, Ohio United States of America.
Ambrose A ChiangDivision of Pulmonary, Critical Care, and Sleep Medicine, University Hospitals Cleveland Medical Center and Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.ORCID 0000-0002-4061-5689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many wearables allow physiological data acquisition in sleep and enable clinicians to assess sleep outside of sleep labs. Belun Sleep Platform (BSP) is a novel neural network-based home sleep apnea testing system utilizing a wearable ring device to detect obstructive sleep apnea (OSA). The objective of the study is to assess the performance of BSP for the evaluation of OSA. Subjects who take heart rate-affecting medications and those with non-arrhythmic comorbidities were included in this cohort. Polysomnography (PSG) studies were performed simultaneously with the Belun Ring in individuals who were referred to the sleep lab for an overnight sleep study. The sleep studies were manually scored using the American Academy of Sleep Medicine Scoring Manual (version 2.4) with 4% desaturation hypopnea criteria. A total of 78 subjects were recruited. Of these, 45% had AHI < 5; 18% had AHI 5-15; 19% had AHI 15-30; 18% had AHI ≥ 30. The Belun apnea-hypopnea index (bAHI) correlated well with the PSG-AHI (r = 0.888, P < 0.001). The Belun total sleep time (bTST) and PSG-TST had a high correlation coefficient (r = 0.967, P < 0.001). The accuracy, sensitivity, specificity in categorizing AHI ≥ 15 were 0.808 [95% CI, 0.703-0.888], 0.931 [95% CI, 0.772-0.992], and 0.735 [95% CI, 0.589-0.850], respectively. The use of beta-blocker/calcium-receptor antagonist and the presence of comorbidities did not negatively affect the sensitivity and specificity of BSP in predicting OSA. A diagnostic algorithm combining STOP-Bang cutoff of 5 and bAHI cutoff of 15 events/h demonstrated an accuracy, sensitivity, specificity of 0.938 [95% CI, 0.828-0.987], 0.944 [95% CI, 0.727-0.999], and 0.933 [95% CI, 0.779-0.992], respectively, for the diagnosis of moderate to severe OSA. BSP is a promising testing tool for OSA assessment and can potentially be incorporated into clinical practices for the identification of OSA. Trial registration: ClinicalTrial.org NCT03997916 https://clinicaltrials.gov/ct2/show/NCT03997916?term=belun+ring&draw=2&rank=1.

Indexed as

Wearable Electronic DevicesAdultCohort StudiesFemaleHumansMaleMiddle AgedRandom AllocationSensitivity and SpecificitySleep Apnea, ObstructiveSurveys and Questionnaires

Identifiers

PMID34634070
PMCPMC8504733

What OpenQuestion holds

Textmetadata
LicenceCC0
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Registered trials

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.