Literature DB >> 8834348

Snoring: analysis, measurement, clinical implications and applications.

F Dalmasso1, R Prota.   

Abstract

Snoring was described in literature even before medicine. Common definitions do not consider acoustic measurements of snoring. In this paper we discuss the main pathophysiological aspects of snoring and the snoring-sleep relationship as the generating mechanisms. Snoring can be analysed and measured by the following methods: 1) Leq-Equivalent Continuous Sound Level, which only quantifies noisiness, annoyance, and damage to the partner's and snorer's hearing; 2) Power Spectrum, with frequency values, formantic structure data and typical shape, which can help to distinguish simple snoring from heavy snoring with obstructive sleep apnoea syndrome (OSAS); 3) Linear Prediction Code (LPC) method, which can define the cross-sectional area (CSA) of the upper airways and which locates sites of obstruction. Simulated snoring analysis with LPC and with simultaneous fluoroscopy permits the definition of CSA and the identification of three snoring patterns: nasal, oral and oronasal. Snoring is an important sign of sleep-related breathing disorders (SRBD), of the upper airway resistance syndrome (UARS), and of the OSAS. Snoring is a symptom of nasal obstruction and is associated with cardiovascular diseases and nocturnal asthma as a trigger or causative factor; however, its acoustic features in these disorders are not well-defined. Home monitoring of snoring is very useful for epidemiology and is mandatory, together with heart rate and arterial oxygen saturation (Sa,O2), to screen SRBD.

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Year:  1996        PMID: 8834348     DOI: 10.1183/09031936.96.09010146

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


  32 in total

Review 1.  Interactions between corticosteroids and beta agonists.

Authors:  D R Taylor; R J Hancox
Journal:  Thorax       Date:  2000-07       Impact factor: 9.139

2.  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

3.  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

4.  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

5.  Treatment of habitual snoring with botulinum toxin: a pilot study.

Authors:  T S Kühnel; W Schulte-Mattler; H Bigalke; K Wohlfarth
Journal:  Sleep Breath       Date:  2008-03       Impact factor: 2.816

Review 6.  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

7.  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 8.  Role of transcription factors in inflammatory lung diseases.

Authors:  I Rahman; W MacNee
Journal:  Thorax       Date:  1998-07       Impact factor: 9.139

9.  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

10.  Detection of compressed tracheal sound patterns with large amplitude variation during sleep.

Authors:  A Kulkas; E Rauhala; E Huupponen; J Virkkala; M Tenhunen; A Saastamoinen; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2008-02-21       Impact factor: 2.602

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