Evidence map›Paper›PMID 31401735›Full record

ArticleSleep & breathing = Schlaf & Atmung2020

Validation of noncontact cardiorespiratory monitoring using impulse-radio ultra-wideband radar against nocturnal polysomnography.

Sun Kang, Yonggu Lee, Young-Hyo Lim, Hyun-Kyung Park, Sung Ho Cho, Seok Hyun Cho

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Long-term night-to-night variability of sleep-disordered breathing using a radar-based home sleep apnea test: a prospective cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
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  7. Effect of obstructive sleep apnea on semen quality.Sleep & breathing = Schlaf & Atmung · 2023
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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 at 2 institutions in 1 country.

Sun KangDepartment of Electronics and Computer Engineering, Hanyang University, 222- Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.
Yonggu LeeDivision of Cardiology, Department of Internal medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Young-Hyo LimDivision of Cardiology, Department of Internal medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Hyun-Kyung ParkDepartment of Pediatrics, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Sung Ho ChoDepartment of Electronics and Computer Engineering, Hanyang University, 222- Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea. dragon@hanyang.ac.kr.
Seok Hyun ChoDepartment of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea. shcho@hanyang.ac.kr.
Anyang University · KRHanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePolysomnography (PSG) is a standard diagnostic test for obstructive sleep apnea (OSA). However, PSG requires many skin-contacted sensors to monitor vital signs of patients, which may also hamper patients' sleep. Because impulse-radio ultra-wideband (IR-UWB) radar can detect the movements of heart and lungs without contact, it may be utilized for vital sign monitoring during sleep. Therefore, we aimed to verify the accuracy and reliability of the breathing rate (BR) and the heart rate (HR) measured by IR-UWB radar.

methodData acquisition with PSG and IR-UWB radar was performed simultaneously in 6 healthy volunteers and in 15 patients with suspected OSA. Subjects were divided into 4 groups (normal, mild OSA, moderate OSA, and severe OSA) according to the apnea-hypopnea index (AHI). BRs and HRs obtained from the radar using a software algorithm were compared with the BRs (chest belt) and the HRs (electrocardiography) obtained from the PSG.

resultsIn normal and in mild OSA, BRs (intraclass correlation coefficients R [ICCR] 0.959 [0.956-0.961] and 0.957 [0.955-0.960], respectively) and HRs ([ICCR] 0.927 [0.922-0.931] and 0.926 [0.922-0.931], respectively) measured in the radar showed excellent agreement with those measured in PSG. In moderate and severe OSA, BRs ([ICCR] 0.957 [0.956-0.959] and 0.873 [0.864-0.882], respectively) and HRs ([ICCR] 0.907 [0.904-0.910] and 0.799 [0.784-0.812], respectively) from the two methods also agreed well.

conclusionsThe IR-UWB radar could accurately measure BRs and HRs in sleeping patients with OSA. Therefore, IR-UWB radar may be utilized as a cardiopulmonary monitor during sleep.

Indexed as

AlgorithmsBiosensing TechniquesHumansMonitoring, PhysiologicPolysomnographyRadarReproducibility of ResultsRespiratory RateSignal Processing, Computer-AssistedSleep Apnea, ObstructiveApneaCardiopulmonaryMonitoringNoncontactPolysomnographyRadar

Identifiers

PMID31401735
OpenAlexW2967431885

What OpenQuestion holds

Textmetadata
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.