ArticleSleep2018
Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea, and insomnia.
Article in Sleep, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Modulating stress and sleep through a multi-compound dietary supplement: a randomized, double-blind, placebo-controlled trial.Journal of the International Society of Sports Nutrition · 2026Trial
- Effects of combining epidural with general anesthesia on postoperative sleep and pain in elderly patients undergoing gastrointestinal tumor surgery: a prospective randomized trial.BMC anesthesiology · 2025Trial
- Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.JMIR aging · 2026Article
- 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
- Patch-Type Heart Rate Variability Analysis with Artificial Intelligence for Detection of Obstructive Sleep Apnea.Nature and science of sleep · 2026Article
- Sleep quality measured by cardiopulmonary coupling spectrogram in pregnant women predicts neonatal outcomes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Article
- Exploring nightly variability and clinical influences on sleep measures: insights from a digital brain health platform.Sleep medicine · 2025Article
- Article
- A continuous approach to explain insomnia and subjective-objective sleep discrepancy.Communications biology · 2025Article
- Pathological respiratory chemoreflex activation predicts improvement of neurocognitive function in response to continuous positive airway pressure therapy.Frontiers in neuroscience · 2025Article
- Association of objective sleep duration with cognition and brain aging biomarkers in older adults.Brain communications · 2024Article
- A New Simpler and More Accurate Approach to the Diagnosis of Sleep Apnea.Allergy, asthma & immunology research · 2023Article
- Effect of short-term mindfulness-based stress reduction on sleep quality in male patients with alcohol use disorder.Frontiers in psychiatry · 2023Article
- Role of automated detection of respiratory related heart rate changes in the diagnosis of sleep disordered breathing.Frontiers in sleep · 2023Article
- Cardiopulmonary coupling and serum cardiac biomarkers in obesity hypoventilation syndrome and obstructive sleep apnea with morbid obesity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Cardiopulmonary Coupling.Advances in experimental medicine and biology · 2022Article
- Sleep medicine: Practice, challenges and new frontiers.Frontiers in neurology · 2022Review
- Characteristics of Children Likely to Have Spontaneous Resolution of Obstructive Sleep Apnea: Results from the Childhood Adenotonsillectomy Trial (CHAT).Children (Basel, Switzerland) · 2021Article
- Cardiopulmonary coupling indices to assess weaning readiness from mechanical ventilation.Scientific reports · 2021Article
- Cognitive deficit is correlated with sleep stability in insomnia: A cardiopulmonary coupling study.Brain and behavior · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesAmbulatory tracking of sleep and sleep pathology is rapidly increasing with the introduction of wearable devices. The objective of this study was to evaluate a wearable device which used novel computational analysis of the electrocardiogram (ECG), collected over multiple nights, as a method to track the dynamics of sleep quality in health and disease.
methodsThis study used the ECG as a primary signal, a wearable device, the M1, and an analysis of cardiopulmonary coupling to estimate sleep quality. The M1 measures trunk movements, the ECG, body position, and snoring vibrations. Data from three groups of patients were analyzed: healthy participants and people with sleep apnea and insomnia, obtained from multiple nights of recording. Analysis focused on summary measures and night-to-night variability, specifically the intraclass coefficient.
resultsData were collected from 10 healthy participants, 18 people with positive pressure-treated sleep apnea, and 20 people with insomnia, 128, 65, and 121 nights, respectively. In any participant, all nights were consecutive. High-frequency coupling (HFC), the signal biomarker of stable breathing and stable sleep, showed high intraclass coefficients (ICCs) in healthy participants and people with sleep apnea (0.83, 0.89), but only 0.66 in people with insomnia. The only statistically significant difference between weekday and weekend in healthy subjects was HFC duration: 242.8 ± 53.8 vs. 275.8 ± 57.1 minutes (89 vs. 39 total nights), F(1,126) = 9.86, p = .002.
conclusionsThe M1 and similar wearable devices provide new opportunities to measure sleep in dynamic ways not possible before. These measurements can yield new biological insights and aid clinical management.
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