The acoustics of snoring

D Pevernagie, RM Aarts, M De Meyer - Sleep medicine reviews, 2010 - Elsevier
Snoring is a prevalent disorder affecting 20–40% of the general population. The mechanism
of snoring is vibration of anatomical structures in the pharyngeal airway. Flutter of the soft …

Automatic snoring detection using a hybrid 1D–2D convolutional neural network

R Li, W Li, K Yue, R Zhang, Y Li - Scientific Reports, 2023 - nature.com
Snoring, as a prevalent symptom, seriously interferes with life quality of patients with sleep
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …

Obstructive apnea hypopnea index estimation by analysis of nocturnal snoring signals in adults

N Ben-Israel, A Tarasiuk, Y Zigel - Sleep, 2012 - academic.oup.com
Abstract Study Objective: To develop a whole-night snore sounds analysis algorithm
enabling estimation of obstructive apnea hypopnea index (AHIEST) among adult subjects …

Snoring sounds variability as a signature of obstructive sleep apnea

A Azarbarzin, Z Moussavi - Medical engineering & physics, 2013 - Elsevier
Snoring sounds vary significantly within and between snorers. In this study, the variation of
snoring sounds and its association with obstructive sleep apnea (OSA) are quantified …

Validation of the Sonomat: a contactless monitoring system used for the diagnosis of sleep disordered breathing

MB Norman, S Middleton, O Erskine, PG Middleton… - Sleep, 2014 - academic.oup.com
Abstract Study Objective: To evaluate the ability of the Sonomat to diagnose obstructive
sleep apnea (OSA). Design: Prospective and randomized. Setting: Sleep laboratory and …

Convolutional neural network for screening of obstructive sleep apnea using snoring sounds

R Li, W Li, K Yue, Y Li - Biomedical Signal Processing and Control, 2023 - Elsevier
Screening and assessment for obstructive sleep apnea hypopnea syndrome (OSAHS) has
attracted growing attention to improve the life of patients with sleep apnea. The gold …

Multiclass classification of subjects with sleep apnoea–hypopnoea syndrome through snoring analysis

J Solà-Soler, JA Fiz, J Morera, R Jané - Medical engineering & physics, 2012 - Elsevier
The gold standard for diagnosing sleep apnoea–hypopnoea syndrome (SAHS) is
polysomnography (PSG), an expensive, labour-intensive and time-consuming procedure …

Automatic breath and snore sounds classification from tracheal and ambient sounds recordings

A Yadollahi, Z Moussavi - Medical engineering & physics, 2010 - Elsevier
In this study respiratory sound signals were recorded from 23 patients suspect of obstructive
sleep apnea, who were referred for the full-night sleep lab study. The sounds were recorded …

Obstructive sleep apnea screening by integrating snore feature classes

UR Abeyratne, S De Silva, C Hukins… - Physiological …, 2013 - iopscience.iop.org
Obstructive sleep apnea (OSA) is a serious sleep disorder with high community prevalence.
More than 80% of OSA suffers remain undiagnosed. Polysomnography (PSG) is the current …

Detection of sleep breathing sound based on artificial neural network analysis

T Emoto, UR Abeyratne, K Kawano, T Okada… - … Signal Processing and …, 2018 - Elsevier
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is known to cause daytime
drowsiness and an association with diseases such as Type II diabetes, cardiovascular …