Abstract

Monitoring variations in the upper airway narrowing during sleep is invasive and expensive. Since snoring sounds are generated by air turbulence and vibrations of the upper airway due to its narrowing; snoring sounds may be used as a non-invasive technique to assess upper airway narrowing. Our goal was to develop a subject-specific acoustic model of the upper airway to investigate the impacts of upper airway anatomy, e.g. length, wall thickness and cross-sectional area, on snoring sounds features. To have a subject-specific model for snoring generation, we used measurements of the upper airway length, cross-sectional area and wall thickness from every individual to develop the model. To validate the proposed model, in 20 male individuals, intensity and resonant frequencies of modeled snoring sounds were compared with those measured from recorded snoring sounds during sleep. Based on both modeled and measured results, we found the only factor that may positively and significantly contribute to snoring intensity was narrowing in the upper airway. Furthermore, measured resonant frequencies of snoring were inversely correlated with the upper airway length, which is a risk factor for upper airway collapsibility. These results encourage the use of snoring sounds analysis to assess the upper airway anatomy during sleep.

Highlights

  • Snoring is present in 20–40% of the general population[1], and is associated with obesity, nasal obstruction, use of alcohol and cigarettes[2]

  • This was a daytime study, participants slept for an average of 150 minutes (Table 2), and 14 out of 20 had at least one full sleep cycle, including both rapid eye movement (REM) and non-REM sleep stages

  • Our model showed that the upper airway narrowing during sleep increases snoring intensity, while increases in the UA-Length reduced the resonant frequency of snoring sounds

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Summary

Introduction

Snoring is present in 20–40% of the general population[1], and is associated with obesity, nasal obstruction, use of alcohol and cigarettes[2]. Ng et al developed an electrical equivalent model of the upper airway to investigate the effects of upper airway narrowing on spectral features of snoring sounds[17]. They observed general agreement between the spectral features of simulated and actual recorded snoring sounds in 40 subjects. Since they did not measure the upper airway cross-sectional area (UA-XSA) in their population, a detailed subject-specific validation of the model to assess the effects of upper airway narrowing on the characteristics of recorded snoring sounds was missing. The modeling results for snoring sounds intensity and resonant frequencies were compared with those measured from recorded snoring sounds in the same individual during sleep

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