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 …

Multi-feature snore sound analysis in obstructive sleep apnea–hypopnea syndrome

AS Karunajeewa, UR Abeyratne… - Physiological …, 2010 - iopscience.iop.org
Snoring is the most common symptom of obstructive sleep apnea hypopnea syndrome
(OSAHS), which is a serious disease with high community prevalence. The standard method …

[HTML][HTML] Assessment of obstructive sleep apnea severity using audio-based snoring features

J Xie, P Fonseca, J van Dijk, S Overeem… - … Signal Processing and …, 2023 - Elsevier
Abstract Background and Objective Snoring is a prima symptom of obstructive sleep apnea
(OSA). Here, we add audio-based snoring features to improve the non-obtrusive …

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 …

Breathing and snoring sound characteristics during sleep in adults

A Levartovsky, E Dafna, Y Zigel… - Journal of Clinical Sleep …, 2016 - jcsm.aasm.org
Study Objectives: Sound level meter is the gold standard approach for snoring evaluation.
Using this approach, it was established that snoring intensity (in dB) is higher for men and is …

Continuous analysis and monitoring of snores and their relationship to the apnea‐hypopnea index

JA Fiz, R Jané, J Solà‐Soler, J Abad… - The …, 2010 - Wiley Online Library
Abstract Objectives/Hypothesis: We used a new automatic snoring detection and analysis
system to monitor snoring during full‐night polysomnography to assess whether the acoustic …

Validation of an automated algorithm for detecting apneas and hypopneas by acoustic analysis of breath sounds

H Alshaer, GR Fernie, E Maki, TD Bradley - Sleep medicine, 2013 - Elsevier
BACKGROUND: Sleep-disordered breathing (SDB) is common and is associated with
increased risk for cardiovascular disease. However, most patients remain undiagnosed due …

Objective relationship between sleep apnea and frequency of snoring assessed by machine learning

H Alshaer, R Hummel, M Mendelson… - Journal of Clinical …, 2019 - jcsm.aasm.org
Study Objectives: Snoring is perceived to be directly proportional to sleep apnea severity,
especially obstructive sleep apnea (OSA), but this notion has not been thoroughly and …

Snoring analysis for the screening of sleep apnea hypopnea syndrome with a single-channel device developed using polysomnographic and snoring databases

R Jané, JA Fiz, J Solà-Soler… - … Conference of the …, 2011 - ieeexplore.ieee.org
Several studies have shown differences in acoustic snoring characteristics between patients
with Sleep Apnea-Hypopnea Syndrome (SAHS) and simple snorers. Usually a few manually …

Snore sound analysis can detect the presence of obstructive sleep apnea specific to NREM or REM sleep

S Akhter, UR Abeyratne, V Swarnkar… - Journal of Clinical Sleep …, 2018 - jcsm.aasm.org
Study Objectives: Severities of obstructive sleep apnea (OSA) estimated both for the overall
sleep duration and for the time spent in rapid eye movement (REM) and non-rapid eye …