ArticleJournal of thoracic disease2020
Validation of novel automatic ultra-wideband radar for sleep apnea detection.
Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
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Who cites it
14 citing papers in PubMed, 34 citations in OpenAlex.
- Cross-Modality Transfer Learning from PSG to FMCW Radar for Event-Level Apnea-Hypopnea Segmentation.Bioengineering (Basel, Switzerland) · 2026Article
- Radar-Based Detection of Obstructive Sleep Apnea: A Systematic Review and Network Meta-Analysis of Diagnostic Accuracy Across Frequency Bands.Diagnostics (Basel, Switzerland) · 2025Review
- Comparative Accuracy of Millimeter-Wave Radar and Polysomnography in Sleep Apnea Detection.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Diagnostic Evaluation of Automatic Noncontact Ultra-Wideband Radar Combined With Oximeter for Obstructive Sleep Apnea in the South of China.Canadian respiratory journal · 2025Article
- Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study.IEEE journal of translational engineering in health and medicine · 2025Article
- Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Mattress-Based Non-Influencing Sleep Apnea Monitoring System.Sensors (Basel, Switzerland) · 2023Article
- Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study.Sensors (Basel, Switzerland) · 2022Article
- Noncontact Longitudinal Respiratory Rate Measurements in Healthy Adults Using Radar-Based Sleep Monitor (Somnofy): Validation Study.JMIR biomedical engineering · 2022Article
- Evaluation of a non-contact ultra-wideband bio-radar sleep monitoring device for screening of sleep breathing disease.Sleep & breathing = Schlaf & Atmung · 2022Article
- Sleep Position Detection with a Wireless Audio-Motion Sensor-A Validation Study.Diagnostics (Basel, Switzerland) · 2022Article
- Apnea Detection in Polysomnographic Recordings Using Machine Learning Techniques.Diagnostics (Basel, Switzerland) · 2021Article
- Distinguishing sleep from wake with a radar sensor: a contact-free real-time sleep monitor.Sleep · 2021Article
- Toward standardizing the clinical testing protocols of point-of-care devices for obstructive sleep apnea diagnosis.Sleep & breathing = Schlaf & Atmung · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo validate the accuracy of ultra-wideband (UWB) wireless radar for the screening diagnosis of sleep apnea.
methodsOne hundred and seventy-six qualified participants were successfully recruited. Apnea-hypopnea index (AHI) results from polysomnography (PSG) were reviewed by physicians, while the radar device automatically calculated AHI values with an embedded chip. All results were statistically analyzed.
resultsA UWB radar-based AHI algorithm was successfully developed according to respiratory movement and body motion signals. Of all 176 participants, 63 exhibited normal results (AHI <5/hr) and the remaining 113 were diagnosed with obstructive sleep apnea. Significant correlation was detected between radar AHI and PSG AHI (Intraclass correlation coefficient 0.98, P<0.001). Receiver operating characteristic curve (ROC) analysis revealed high sensitivity and specificity. High concordance in participants with varying gender, age, BMI, and PSG AHI was reached.
conclusionsThe UWB radar may be a portable, convenient, and reliable device for obstructive sleep apnea screening.
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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 Socratic graph.