Literature DB >> 22824726

Snoring sounds variability as a signature of obstructive sleep apnea.

Ali Azarbarzin1, Zahra Moussavi.   

Abstract

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. Snoring sounds of 42 snorers with different degrees of obstructive sleep apnea and 15 non-OSA snorers were analyzed. The sounds were recorded by a microphone placed over the suprasternal notch of trachea, simultaneously with polysomnography (PSG) data over the entire night. We hypothesize that snoring sounds vary significantly within a subject depending on the level of obstruction, and thus the level of airflow. We also hypothesize that this variability is associated with the severity of OSA. For each individual, we extracted snoring sound segments from the respiratory recordings, and divided them into three classes: non-apneic, hypopneic, and post-apneic using their PSG information. Several features were extracted from the snoring sound segments, and compared using a nonparametric statistical test. The results show significant shift in the median of features among the snoring sound classes (p<0.00001) of an individual. In contrast to hypopneic and post-apneic classes, the characteristics of snoring sounds did not vary significantly over time in non-apneic class. Therefore, we used the total variation norm of each subject to classify the participants as OSA and non-OSA snorers. The results showed 92.9% sensitivity, 100% specificity and 96.4% accuracy.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22824726     DOI: 10.1016/j.medengphy.2012.06.013

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  18 in total

1.  Snore Sound Analysis Can Detect the Presence of Obstructive Sleep Apnea Specific to NREM or REM Sleep.

Authors:  Shahin Akhter; Udantha R Abeyratne; Vinayak Swarnkar; Craig Hukins
Journal:  J Clin Sleep Med       Date:  2018-06-15       Impact factor: 4.062

2.  Intra-subject variability of snoring sounds in relation to body position, sleep stage, and blood oxygen level.

Authors:  Ali Azarbarzin; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2012-12-27       Impact factor: 2.602

3.  Breathing and Snoring Sound Characteristics during Sleep in Adults.

Authors:  Asaf Levartovsky; Eliran Dafna; Yaniv Zigel; Ariel Tarasiuk
Journal:  J Clin Sleep Med       Date:  2016-03       Impact factor: 4.062

4.  An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram.

Authors:  Lili Chen; Xi Zhang; Hui Wang
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

5.  Predicting Obstructive Sleep Apnea with Periodic Snoring Sound Recorded at Home.

Authors:  Anniina Alakuijala; Tapani Salmi
Journal:  J Clin Sleep Med       Date:  2016-07-15       Impact factor: 4.062

6.  Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal.

Authors:  Bochun Wang; Xuanyu Yi; Jiandong Gao; Yanru Li; Wen Xu; Ji Wu; Demin Han
Journal:  J Clin Sleep Med       Date:  2021-09-01       Impact factor: 4.324

7.  Automatic detection of whole night snoring events using non-contact microphone.

Authors:  Eliran Dafna; Ariel Tarasiuk; Yaniv Zigel
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

8.  Snoring Sounds Predict Obstruction Sites and Surgical Response in Patients with Obstructive Sleep Apnea Hypopnea Syndrome.

Authors:  Li-Ang Lee; Yu-Lun Lo; Jen-Fang Yu; Gui-She Lee; Yung-Lun Ni; Ning-Hung Chen; Tuan-Jen Fang; Chung-Guei Huang; Wen-Nuan Cheng; Hsueh-Yu Li
Journal:  Sci Rep       Date:  2016-07-29       Impact factor: 4.379

9.  Automated sleep apnea quantification based on respiratory movement.

Authors:  M T Bianchi; T Lipoma; C Darling; Y Alameddine; M B Westover
Journal:  Int J Med Sci       Date:  2014-05-30       Impact factor: 3.738

10.  The Frequency and Energy of Snoring Sounds Are Associated with Common Carotid Artery Intima-Media Thickness in Obstructive Sleep Apnea Patients.

Authors:  Guo-She Lee; Li-Ang Lee; Chao-Yung Wang; Ning-Hung Chen; Tuan-Jen Fang; Chung-Guei Huang; Wen-Nuan Cheng; Hsueh-Yu Li
Journal:  Sci Rep       Date:  2016-07-29       Impact factor: 4.379

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