ArticleMedical & biological engineering & computing2010
Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.
Article in Medical & biological engineering & computing, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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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
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.
- Home-testing devices for diagnosing obstructive sleep apnoea hypopnoea syndrome - a systematic review and economic evaluation.Health technology assessment (Winchester, England) · 2026Pooled it
- Fentanyl decreases arterial blood oxygen saturation more than furanylfentanyl in mice due to increased apnea.Psychopharmacology · 2026Article
- Fentanyl decreases blood oxygen more than furanylfentanyl despite similar effects on breathing.Research square · 2026Article
- Isfahan Artificial Intelligence Event 2024, Challenge I: Respiratory Depression Detection.Journal of medical signals and sensors · 2026Article
- Limited Microvascular Remodelling Occurs in the Aged Human Hippocampus in Obstructive Sleep Apnoea.International journal of molecular sciences · 2025Article
- Anatomical Determinants of Tracheal Breathing Sounds: A Computational Study of Airway Narrowing and Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2025Article
- Xylazine exacerbates fentanyl-induced respiratory depression and bradycardia.The Journal of pharmacology and experimental therapeutics · 2025Article
- Advancements in Home-Based Devices for Detecting Obstructive Sleep Apnea: A Comprehensive Study.Sensors (Basel, Switzerland) · 2023Review
- Tracheal sound-based apnea detection using hidden Markov model in sedated volunteers and post anesthesia care unit patients.Journal of clinical monitoring and computing · 2023Article
- Sleep Apnea Detection by Tracheal Motion and Sound, and Oximetry via Application of Deep Neural Networks.Nature and science of sleep · 2023Article
- A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network.Medical & biological engineering & computing · 2022Article
- Noncontact Sleep Monitoring With Infrared Video Data to Estimate Sleep Apnea Severity and Distinguish Between Positional and Nonpositional Sleep Apnea: Model Development and Experimental Validation.Journal of medical Internet research · 2021Article
- A Review of Methods for Sleep Arousal Detection Using Polysomnographic Signals.Brain sciences · 2021Review
- Respiratory Monitoring Based on Tracheal Sounds: Continuous Time-Frequency Processing of the Phonospirogram Combined with Phonocardiogram-Derived Respiration.Sensors (Basel, Switzerland) · 2020Article
- Acoustic characterization of upper airway variations from wakefulness to sleep with respect to obstructive sleep apnea.Medical & biological engineering & computing · 2020Article
- Diagnosis of sleep apnea without sensors on the patient's face.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020Article
- Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device.Sensors (Basel, Switzerland) · 2020Article
- Sleep/Wakefulness Detection Using Tracheal Sounds and Movements.Nature and science of sleep · 2020Article
- Adaptive Filtering Improved Apnea Detection Performance Using Tracheal Sounds in Noisy Environment: A Simulation Study.BioMed research international · 2020Article
- Tracheal sounds accurately detect apnea in patients recovering from anesthesia.Journal of clinical monitoring and computing · 2019Observational
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep apnea is a common respiratory disorder during sleep, which is described as a cessation of airflow to the lungs that lasts at least for 10 s and is associated with at least 4% drop in blood's oxygen saturation level (S(a)O(2)). The current gold standard method for sleep apnea assessment is full-night polysomnography (PSG). However, its high cost, inconvenience for patients, and immobility have persuaded researchers to seek simple and portable devices to detect sleep apnea. In this article, we report on developing a new method for sleep apnea detection and monitoring, which only requires two data channels: tracheal breathing sounds and the pulse oximetry (S(a)O(2) signal). It includes an automated method that uses the energy of breathing sounds signals to segment the signals into sound and silent segments. Then, the sound segments are classified into breath, snore, and noise segments. The S(a)O(2) signal is analyzed automatically to find its rises and drops. Finally, a weighted average of different features extracted from breath segments, snore segments and S(a)O(2) signal are used to detect apnea and hypopnea events. The performance of the proposed approach was evaluated on the data of 66 patients recorded simultaneously with their full-night PSG study, and the results were compared with those of the PSG. The results show high correlation (0.96, P < 0.0001) between the outcomes of our system and those of the PSG. Also, the proposed method has been found to have sensitivity and specificity values of more than 91% in differentiating simple snorers from obstructive sleep apnea patients.
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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.