ArticleSleep2012
Obstructive apnea hypopnea index estimation by analysis of nocturnal snoring signals in adults.
Article in Sleep, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.
- 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
- Non-contact diagnosis of obstructive sleep apnea using impulse-radio ultra-wideband radar.Scientific reports · 2020Trial
- The Frequency and Energy of Snoring Sounds Are Associated with Common Carotid Artery Intima-Media Thickness in Obstructive Sleep Apnea Patients.Scientific reports · 2016Trial
- Trial
- Research on Large Endothelial Cell-Derived Extracellular Vesicles in Pediatric Obstructive Sleep Apnea Syndrome.Nature and science of sleep · 2026Article
- High-Precision Contactless Stereo Acoustic Monitoring in Polysomnographic Studies of Children.Sensors (Basel, Switzerland) · 2025Article
- Identification of OSAHS patients based on ReliefF-mRMR feature selection.Physical and engineering sciences in medicine · 2024Article
- Automatic snoring detection using a hybrid 1D-2D convolutional neural network.Scientific reports · 2023Article
- Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning.Nature and science of sleep · 2022Article
- Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Article
- Application of automatic detection based on overnight airflow and blood oxygen in patients with sleep disordered breathing.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- Acoustic analyses of snoring sounds using a smartphone in patients undergoing septoplasty and turbinoplasty.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- Estimating a Sleep Apnea Hypopnea Index Based on the ERB Correlation Dimension of Snore Sounds.Frontiers in digital health · 2020Article
- Associations of snoring frequency and intensity in pregnancy with time-to-delivery.Paediatric and perinatal epidemiology · 2018Article
- Subjective effects of the sleep position trainer on snoring outcomes in position-dependent non-apneic snorers.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2018Article
- 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
- Apnea and heart rate detection from tracheal body sounds for the diagnosis of sleep-related breathing disorders.Medical & biological engineering & computing · 2018Article
- Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques.Biomedical engineering online · 2018Article
- Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017Article
- Acoustic analysis of snoring sounds recorded with a smartphone according to obstruction site in OSAS patients.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2017Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectiveTo develop a whole-night snore sounds analysis algorithm enabling estimation of obstructive apnea hypopnea index (AHI(EST)) among adult subjects.
designSnore sounds were recorded using a directional condenser microphone placed 1 m above the bed. Acoustic features exploring intra-(mel- cepstability, pitch density) and inter-(running variance, apnea phase ratio, inter-event silence) snore properties were extracted and integrated to assess AHI(EST).
settingUniversity-affiliated sleep-wake disorder center and biomedical signal processing laboratory. PATIENTS: Ninety subjects (age 53 ± 13 years, BMI 31 ± 5 kg/m(2)) referred for polysomnography (PSG) diagnosis of OSA were prospectively and consecutively recruited. The system was trained and tested on 60 subjects. Validation was blindly performed on the additional 30 consecutive subjects. MEASUREMENTS AND
resultsAHI(EST) correlated with AHI (AHI(PSG); r(2) = 0.81, P < 0.001). Area under the receiver operating characteristic curve of 85% and 92% for thresholds of 10 and 20 events/h, respectively, were obtained for OSA detection. Both Altman-Bland analysis and diagnostic agreement criteria revealed 80% and 83% agreements of AHI(EST) with AHI(PSG), respectively.
conclusionsAcoustic analysis based on intra- and inter-snore properties can differentiate subjects according to AHI. An acoustic-based screening system may address the growing needs for reliable OSA screening tool. Further studies are needed to support these findings.
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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.