Literature DB >> 8666109

The acoustic properties of snores.

R Beck1, M Odeh, A Oliven, N Gavriely.   

Abstract

This study was undertaken in an attempt to characterize the acoustic properties of snoring sounds in the time and frequency domains, and to correlate between these properties and the mechanical events underlying their production. Three experimental set-ups were used: 1) Dog model--six mongrel dogs, in which partial upper airway obstruction was created by an implanted supraglottic balloon. Flow, supraglottic pressure, and snoring sounds were recorded during different degrees of obstruction. Fifteen to 20 snores from each dog (total 100 snores) were analysed. 2) Simulated human snores--Six simulated snores from each of four subjects were recorded in two locations (trachea and ambient) with simultaneous airflow, and their correlations examined. 3) Snoring patients--snores were recorded with an ambient microphone from nine subjects with "heavy" snoring and no obstructive sleep apnoea (OSA). Forty to 50 snores from each subject were analysed (total of 400 snores). The snoring sound was analysed in the time (time-expanded waveform) and frequency (power spectrum) domains. After analysing these snores, we were able to identify two dominant patterns which are distinctly different from each other: the "simple-waveform" and the "complex-waveform". The complex-waveform snore is characterized by repetitive, equally-spaced, train of sound structures, starting with a large deflection followed by a decaying amplitude wave. In the frequency domain, it is characterized by multiple, equally-spaced peaks of power (comb-like spectrum). Simple-waveform snores have a quasi-sinusoidal waveform, with a range of variants, and almost no secondary internal oscillations. Their power spectrum contains only 1-3 peaks, of which the first is the most prominent. We developed a mathematical representation of these waveforms, which is presented along with its implications. The complex-waveform snores result from colliding of the airway walls and represent actual brief airway closure. Simple-waveform snores are of higher frequency and probably result from oscillation around a neutral position without actual closure of the lumen.

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Year:  1995        PMID: 8666109     DOI: 10.1183/09031936.95.08122120

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  17 in total

1.  Radiofrequency surgery of the tongue base in the treatment of snoring--a pilot study.

Authors:  Sandra Welt; Joachim T Maurer; Karl Hörmann; Boris A Stuck
Journal:  Sleep Breath       Date:  2007-03       Impact factor: 2.816

2.  The impact of the microphone position on the frequency analysis of snoring sounds.

Authors:  Michael Herzog; Thomas Kühnel; Thomas Bremert; Beatrice Herzog; Werner Hosemann; Holger Kaftan
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-11-11       Impact factor: 2.503

3.  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

4.  Frequency analysis of snoring sounds during simulated and nocturnal snoring.

Authors:  Michael Herzog; Eva Schieb; Thomas Bremert; Beatrice Herzog; Werner Hosemann; Holger Kaftan; Thomas Kühnel
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-05-17       Impact factor: 2.503

5.  Acoustic analysis of snoring sounds recorded with a smartphone according to obstruction site in OSAS patients.

Authors:  Soo Kweon Koo; Soon Bok Kwon; Yang Jae Kim; J I Seung Moon; Young Jun Kim; Sung Hoon Jung
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-10-05       Impact factor: 2.503

6.  Effects of Increased Pharyngeal Tissue Mass Due to Fluid Accumulation in the Neck on the Acoustic Features of Snoring Sounds in Men.

Authors:  Shumit Saha; Zahra Moussavi; Peyman Hadi; T Douglas Bradley; Azadeh Yadollahi
Journal:  J Clin Sleep Med       Date:  2018-10-15       Impact factor: 4.062

7.  Acoustic snoring analysis can provide important information in OSA diagnosis.

Authors:  Giora Pillar; Tamar Etzioni; Neriel Katz
Journal:  Sleep       Date:  2012-09-01       Impact factor: 5.849

8.  Calculating annoyance: an option to proof efficacy in ENT treatment of snoring?

Authors:  René Fischer; Thomas S Kuehnel; Anne-Kathrin Merz; Tobias Ettl; Michael Herzog; Christian Rohrmeier
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-06-22       Impact factor: 2.503

9.  The comparison of cephalometric characteristics in nonobese obstructive sleep apnea subjects and primary snorers cephalometric measures in nonobese OSA and primary snorers.

Authors:  Meltem Esen Akpinar; M Mazhar Celikoyar; Aytug Altundag; Ismail Kocak
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-12-04       Impact factor: 2.503

10.  Are subjective assessments of snoring sounds reliable?

Authors:  Christian Rohrmeier; René Fischer; Anne-Kathrin Merz; Tobias Ettl; Michael Herzog; Thomas S Kuehnel
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-08-02       Impact factor: 2.503

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