ArticleMedical & biological engineering & computing2012
All night analysis of time interval between snores in subjects with sleep apnea hypopnea syndrome.
Article in Medical & biological engineering & computing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Acoustic Analysis of Snoring in the Diagnosis of Obstructive Sleep Apnea Syndrome: A Call for More Rigorous Studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Pooled it
- Vitamin D Deficiency Is Associated with a Higher 5-Year Risk of Obstructive Sleep Apnea and CPAP Use in Older Adults: An Anchor-Based Network Meta-Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- Temporal snoring metrics and obstructive sleep apnea severity: nonlinear associations and data-driven inflection points in a clinical cohort.Sleep & breathing = Schlaf & Atmung · 2026Article
- Automatic detection of obstructive sleep apnea based on speech or snoring sounds: a narrative review.Journal of thoracic disease · 2024Review
- Association of Heart Rate Variability with Obstructive Sleep Apnea in Adults.Medicina (Kaunas, Lithuania) · 2023Article
- Validation of snoring detection using a smartphone app.Sleep & breathing = Schlaf & Atmung · 2022Article
- Snore Sound Analysis Can Detect the Presence of Obstructive Sleep Apnea Specific to NREM or REM Sleep.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
- Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques.Biomedical engineering online · 2018Article
- Predicting Obstructive Sleep Apnea with Periodic Snoring Sound Recorded at Home.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016Article
- Nocturnal snoring sound analysis in the diagnosis of obstructive sleep apnea in the Chinese Han population.Sleep & breathing = Schlaf & Atmung · 2015Article
- Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2014Article
- Intra-subject variability of snoring sounds in relation to body position, sleep stage, and blood oxygen level.Medical & biological engineering & computing · 2013Article
- Energy types of snoring sounds in patients with obstructive sleep apnea syndrome: a preliminary observation.PloS one · 2012Article
- Correlation between snoring sounds and obstructive sleep apnea in adults: a meta-regression analysis.Sleep science (Sao Paulo, Brazil)Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep apnea-hypopnea syndrome (SAHS) is a serious sleep disorder, and snoring is one of its earliest and most consistent symptoms. We propose a new methodology for identifying two distinct types of snores: the so-called non-regular and regular snores. Respiratory sound signals from 34 subjects with different ranges of Apnea-Hypopnea Index (AHI = 3.7-109.9 h(-1)) were acquired. A total number of 74,439 snores were examined. The time interval between regular snores in short segments of the all night recordings was analyzed. Severe SAHS subjects show a shorter time interval between regular snores (p = 0.0036, AHI cp: 30 h(-1)) and less dispersion on the time interval features during all sleep. Conversely, lower intra-segment variability (p = 0.006, AHI cp: 30 h(-1)) is seen for less severe SAHS subjects. Features derived from the analysis of time interval between regular snores achieved classification accuracies of 88.2 % (with 90 % sensitivity, 75 % specificity) and 94.1 % (with 94.4 % sensitivity, 93.8 % specificity) for AHI cut-points of severity of 5 and 30 h(-1), respectively. The features proved to be reliable predictors of the subjects' SAHS severity. Our proposed method, the analysis of time interval between snores, provides promising results and puts forward a valuable aid for the early screening of subjects suspected of having SAHS.
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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.