Evidence map›Paper›PMID 42578022›Full record

ArticleNature and science of sleep2026

Diagnostic Performance of a Combined Reflective Photoplethysmography and Ultra-Wideband Radar Device for Obstructive Sleep Apnea: Comparison with Polysomnography.

Ming Qiao, Hui Zhang, Luhua Yuan, Ying Huang, Qiuchi Zhang, Shengjie Pan, Limin Xu, Cong Fu, Huan Yu

Abstract read
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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

9 authors.

Ming Qiao *Department of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0009-0002-3974-4675
Hui Zhang *Department of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Luhua YuanDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Ying HuangDepartment of Nursing, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Qiuchi ZhangDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Shengjie PanDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0009-0006-1274-7613
Limin XuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Cong FuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0001-9338-0839
Huan YuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-6579-0010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Obstructive sleep apnea (OSA) exhibits high prevalence, yet limited polysomnography (PSG) resources highlight an urgent need for large scale screening. This study assessed the diagnostic efficacy of a combined reflective photoplethysmography and ultra-wideband radar device (Zhao-Guan wireless monitoring system, ZG-Sys) compared to PSG. The aims were to establish ZG-Sys OSA severity cutoff values and define its clinical implementation prospects. Methods: This prospective, open-label diagnostic study was conducted in a sleep center, collecting 433 valid datasets for suspected sleep disorders from June 2023 to April 2024, via synchronous Type 1 PSG and ZG-Sys monitoring. ZG-Sys consists of a ring-style pulse oximeter (Circul) and an IR-UWB radar device (OrbSense). Statistical analysis utilized Spearman rank correlation, Bland-Altman analysis, and Receiver Operating Characteristic (ROC) curves to evaluate agreement and determine optimal ZG-AHI cutoff values against PSG-AHI standards (5, 15, and 30 events/h). Results: ZG-AHI showed a significant correlation with PSG-AHI (Spearman r = 0.800, ICC = 0.908, P < 0.001). The optimal ZG-AHI cutoff for detecting moderate-to-severe OSA (PSG-AHI ≥15) was 20.8 events/h, yielding a high area under the curve (AUC) of 0.943. ZG-Sys demonstrated high sensitivity (89.10-90.80%) and specificity (85.30-88.80%) for identifying moderate-to-severe OSA. Although consistency was good across multiple sleep disorders (eg, parasomnias), weaker correlations were observed in the continuous positive airway pressure (CPAP) treatment group. Conclusion: ZG-Sys demonstrated moderate consistency with PSG across multiple sleep disorders, proving significant clinical value for screening and diagnosing moderate to severe OSA. Featuring simple charging, reusability, and real-time monitoring capabilities, ZG-Sys shows potential for clinical screening in sleep center settings.

Indexed as

apnea-hypopnea indexobstructive sleep apneapolysomnographywearable electronic devices

Identifiers

PMID42578022
PMCPMC13455791

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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.