ArticleSleep & breathing = Schlaf & Atmung2020
Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis.
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 16 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
16 citing papers in PubMed, 30 citations in OpenAlex.
- Sleep apnea diagnosis in children using software-generated apnea-hypopnea index (AHI) derived from data recorded with a single photoplethysmogram sensor (PPG) : Results from the Childhood Adenotonsillectomy Study (CHAT) based on cardiopulmonary coupling analysis.Sleep & breathing = Schlaf & Atmung · 2020Trial
- The Effectiveness of a Novel Sleep Test Based on Cardiopulmonary Coupling to Detect Obstructive Sleep Apnea: A Multicenter Prospective Study.Nature and science of sleep · 2026Article
- Evidence of a relationship between circulating ghrelin and sleep quality in male alcohol-dependent patients after abstinence.BMC psychiatry · 2025Article
- Association of self-reported and objective sleep disturbance with the spectrum of gastroesophageal reflux disease.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity.Sleep medicine · 2024Article
- Screening of preoperative obstructive sleep apnea by cardiopulmonary coupling and its risk factors in patients with plans to receive surgery under general anesthesia: a cross-sectional study.Frontiers in neurology · 2024Article
- Role of automated detection of respiratory related heart rate changes in the diagnosis of sleep disordered breathing.Frontiers in sleep · 2023Article
- A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning.Computational intelligence and neuroscience · 2023Article
- Mood Disorders are Correlated with Autonomic Nervous Function in Chronic Insomnia Patients with OSA.Nature and science of sleep · 2023Article
- ECG Patient Simulator Based on Mathematical Models.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of a non-contact ultra-wideband bio-radar sleep monitoring device for screening of sleep breathing disease.Sleep & breathing = Schlaf & Atmung · 2022Article
- Slow wave synchronization and sleep state transitions.Scientific reports · 2022Article
- At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch.Science advances · 2021Article
- Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology-Implications for Health and Disease.Frontiers in neuroscience · 2021Review
- Introducing the Hybrid "K-means, RLS" Learning for the RBF Network in Obstructive Apnea Disease Detection using Dual-tree Complex Wavelet Transform Based Features.Journal of electrical bioimpedance · 2020Article
- Enhancing Obstructive Apnea Disease Detection Using Dual-Tree Complex Wavelet Transform-Based Features and the Hybrid "K-Means, Recursive Least-Squares" Learning for the Radial Basis Function Network.Journal of medical signals and sensorsArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeDespite the increasing number of research studies of cardiopulmonary coupling (CPC) analysis, an electrocardiogram-based technique, the use of CPC in underserved population remains underexplored. This study aimed to first evaluate the reliability of CPC analysis for the detection of obstructive sleep apnea (OSA) by comparing with polysomnography (PSG)-derived sleep outcomes.
methodsTwo hundred five PSG data (149 males, age 46.8 ± 12.8 years) were used for the evaluation of CPC regarding the detection of OSA. Automated CPC analyses were based on ECG signals only. Respiratory event index (REI) derived from CPC and apnea-hypopnea index (AHI) derived from PSG were compared for agreement tests.
resultsCPC-REI positively correlated with PSG-AHI (r = 0.851, p < 0.001). After adjusting for age and gender, CPC-REI and PSG-AHI were still significantly correlated (r = 0.840, p < 0.001). The overall results of sensitivity and specificity of CPC-REI were good.
conclusionCompared with the gold standard PSG, CPC approach yielded acceptable results among OSA patients. ECG recording can be used for the screening or diagnosis of OSA in the general population.
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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.