Literature DB >> 19665907

The acoustics of snoring.

Dirk Pevernagie1, Ronald M Aarts, Micheline De Meyer.   

Abstract

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 palate accounts for the harsh aspect of the snoring sound. Natural or drug-induced sleep is required for its appearance. Snoring is subject to many influences such as body position, sleep stage, route of breathing and the presence or absence of sleep-disordered breathing. Its presentation may be variable within or between nights. While snoring is generally perceived as a social nuisance, rating of its noisiness is subjective and, therefore, inconsistent. Objective assessment of snoring is important to evaluate the effect of treatment interventions. Moreover, snoring carries information relating to the site and degree of obstruction of the upper airway. If evidence for monolevel snoring at the site of the soft palate is provided, the patient may benefit from palatal surgery. These considerations have inspired researchers to scrutinize the acoustic characteristics of snoring events. Similarly to speech, snoring is produced in the vocal tract. Because of this analogy, existing techniques for speech analysis have been applied to evaluate snoring sounds. It appears that the pitch of the snoring sound is in the low-frequency range (<500 Hz) and corresponds to a fundamental frequency with associated harmonics. The pitch of snoring is determined by vibration of the soft palate, while nonpalatal snoring is more 'noise-like', and has scattered energy content in the higher spectral sub-bands (>500 Hz). To evaluate acoustic properties of snoring, sleep nasendoscopy is often performed. Recent evidence suggests that the acoustic quality of snoring is markedly different in drug-induced sleep as compared with natural sleep. Most often, palatal surgery alters sound characteristics of snoring, but is no cure for this disorder. It is uncertain whether the perceived improvement after palatal surgery, as judged by the bed partner, is due to an altered sound spectrum. Whether some acoustic aspects of snoring, such as changes in pitch, have predictive value for the presence of obstructive sleep apnea is at present not sufficiently substantiated. (c) 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19665907     DOI: 10.1016/j.smrv.2009.06.002

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  44 in total

1.  Endoscopic upper airway evaluation in obstructive sleep apnea: Mueller's maneuver versus simulation of snoring.

Authors:  Hong Huo; Wuyi Li; Xu Tian; Chunxiao Xu; Jian Wang; Dahai Yang
Journal:  Sleep Breath       Date:  2014-11-05       Impact factor: 2.816

2.  All night analysis of time interval between snores in subjects with sleep apnea hypopnea syndrome.

Authors:  J Mesquita; J Solà-Soler; J A Fiz; J Morera; R Jané
Journal:  Med Biol Eng Comput       Date:  2012-03-10       Impact factor: 2.602

3.  The annoyance of snoring and psychoacoustic parameters: a step towards an objective measurement.

Authors:  Christian Rohrmeier; Michael Herzog; Frank Haubner; Thomas S Kuehnel
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-12-14       Impact factor: 2.503

4.  Analysis of snoring sound by psychoacoustic parameters.

Authors:  Michael Herzog; Thomas Bremert; Beatrice Herzog; Werner Hosemann; Holger Kaftan; Alexander Müller
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-09-22       Impact factor: 2.503

5.  Nasal pressure recordings for automatic snoring detection.

Authors:  Hyo-Ki Lee; Hojoong Kim; Kyoung-Joung Lee
Journal:  Med Biol Eng Comput       Date:  2015-09-21       Impact factor: 2.602

6.  Mean tracheal sound energy during sleep is related to daytime blood pressure.

Authors:  Hiroshi Nakano; Kenji Hirayama; Yumiko Sadamitsu; Shizue Shin; Tomoaki Iwanaga
Journal:  Sleep       Date:  2013-09-01       Impact factor: 5.849

7.  Screening of snoring with an MP3 recorder.

Authors:  Hanna-Riikka Kreivi; Tapani Salmi; Paula Maasilta; Adel Bachour
Journal:  Sleep Breath       Date:  2012-01-27       Impact factor: 2.816

Review 8.  A review of signals used in sleep analysis.

Authors:  A Roebuck; V Monasterio; E Gederi; M Osipov; J Behar; A Malhotra; T Penzel; G D Clifford
Journal:  Physiol Meas       Date:  2013-12-17       Impact factor: 2.833

9.  Distinguishing snoring sounds from breath sounds: a straightforward matter?

Authors:  Christian Rohrmeier; Michael Herzog; Tobias Ettl; Thomas S Kuehnel
Journal:  Sleep Breath       Date:  2013-06-21       Impact factor: 2.816

Review 10.  Acoustic Analysis of Snoring in the Diagnosis of Obstructive Sleep Apnea Syndrome: A Call for More Rigorous Studies.

Authors:  Hui Jin; Li-Ang Lee; Lijuan Song; Yanmei Li; Jianxin Peng; Nanshan Zhong; Hsueh-Yu Li; Xiaowen Zhang
Journal:  J Clin Sleep Med       Date:  2015-07-15       Impact factor: 4.062

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