Osa Estimation by Analysis of Nocturnal Snoring Signals in Adults

نویسنده

  • Nir Ben-Israel
چکیده

1299 Analysis of Nocturnal Snoring Signal—Ben-Israel et al INTRODUCTION Obstructive sleep apnea (OSA) is a chronic disorder affecting 2% to 7% of adults and can lead to considerable morbidity.1 Partial or complete collapse of the upper airway during sleep has different effects on the human body, ranging from noisy breathing (simple snoring)2 to cardiovascular morbidity.3 Snoring is the most common symptom of OSA, occurring in 70% to 95% of patients.4 The estimated prevalence of self-reported snoring in the general population extended over a wide range from 16% to 89%5-8; this prevalence depends on awareness, age, culture, and biased bed partner complaints.4,9,10 Nevertheless, self-reported snoring is considered a poor predictor of OSA because of the great prevalence of snoring in the general population.4,11,12 Little is known about acoustic characteristics of snoring events in adults. Earlier studies investigated snoring sound intensity,13 spectral,14-16 and pitch-related17,18 features. Fiz et al.19 used computerized snore detection algorithm enabling full-night analysis. The majority of those studies focused on intra-snore properties by analyzing snore-by-snore events. It is possible that OSA ESTIMATION BY ANALYSIS OF NOCTURNAL SNORING SIGNALS IN ADULTS

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تاریخ انتشار 2012