ReviewFrontiers in physiology2016
Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography.
Review in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.
- Automatic sleep staging by cardiorespiratory signals: a systematic review.Sleep & breathing = Schlaf & Atmung · 2022Pooled it
- 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 effect of acetazolamide on the improvement of central apnea caused by abusing opioid drugs in the clinical trial.Sleep & breathing = Schlaf & Atmung · 2020Trial
- Melatonin Therapy Improves Cardiac Autonomic Modulation in Pinealectomized Patients.Frontiers in endocrinology · 2020Trial
- Objective sleep quality and metabolic risk in healthy weight children results from the randomized Childhood Adenotonsillectomy Trial (CHAT).Sleep & breathing = Schlaf & Atmung · 2019Trial
- MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography.Diagnostics (Basel, Switzerland) · 2026Article
- From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Review
- Temporal Properties of Cardiorespiratory Coupling in Patients with Heart Failure During the Circadian Cycle.Entropy (Basel, Switzerland) · 2026Article
- The role of sleep disorders in the motoric and cognitive trajectories of older physically frail sarcopenic and healthy active subjects: SOMNUS-DARE, a prospective cohort study.BMC geriatrics · 2026Article
- Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpOMeasurement : journal of the International Measurement Confederation · 2026Article
- Article
- A late fusion multi-task learning for respiratory waveform and rate estimation from photoplethysmography.PloS one · 2026Article
- Sleep structure and autonomic nervous system state during four months of isolation in a space analogue mission.Frontiers in human neuroscience · 2026Article
- Decrypting network physiology for clinical practice.Frontiers in network physiology · 2026Review
- Emerging trends and clinical challenges in AI-enhanced emotion diagnosis using physiological data.Medical & biological engineering & computing · 2026Review
- Slow nocturnal body cooling during sleep increases interbeat intervals and is tightly coupled to high-frequency heart rate variability in healthy men.Physiological reports · 2025Article
- State Space Correspondence and Cross-Entropy Methods in the Assessment of Bidirectional Cardiorespiratory Coupling in Heart Failure.Entropy (Basel, Switzerland) · 2025Article
- A review of automatic sleep stage classification using machine learning algorithms based on heart rate variability.Sleep and biological rhythms · 2025Review
- On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input.Sensors (Basel, Switzerland) · 2025Article
- Detection and severity assessment of obstructive sleep apnea according to deep learning of single-lead electrocardiogram signals.Journal of sleep research · 2025Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However, their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic information for autonomic nervous activity during sleep. This review presents major methodological developments in sleep research regarding heart rate, ECG, and cardio-respiratory couplings in a chronological (historical) sequence. It presents physiological and pathophysiological insights related to sleep medicine obtained by new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability (HRV) analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in totally different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods enables us to estimate sleep stages based on the differences in autonomic nervous system regulation. Furthermore, up to some degree, it is possible to track transitions from wakefulness to sleep by analysis of heart-rate variations. ECG and heart rate analysis allow assessment of selected sleep disorders as well. Sleep disordered breathing can be detected reliably by studying cyclical variation of heart rate combined with respiration-modulated changes in ECG morphology (amplitude of R wave and T wave).
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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.