Automatic detection of snore episodes in paediatric population

Author

Cavusoglu, Mustafa ; Burger, Harold Christopher ; Brockmann, Pablo E. ; Poets, Christian F. ; Urschitz, Michael S. ; Kamasak, M.E. ; Erogul, Osman

Author_Institution

Biyomedikal Muhendislik Enstitusu, ETH Zurich, Zurich, Switzerland

fYear

2014

fDate

23-25 April 2014

Firstpage

1138

Lastpage

1141

Abstract

In this paper, a novel algorithm is proposed for automatic detection of snoring sounds from ambient acoustic data in a pediatric population. With the approval of institutional ethic committee and parents, the respiratory sounds of 50 subjects were recorded by using a pair of microphones and multichannel data acquisition system simultaneously with full-night polysomnography during sleep. Brief sound chunks of 0.5 s were classified as either belonging to a snoring event or not with a multi-layer perceptron which was trained in a supervised fashion using stochastic gradient descent on a large hand-labeled dataset using frequency domain features. The overall accuracy of the proposed algorithm was found to be 88.93% for primary snorers and 80.6% for obstructive sleep apnea (OSA) patients.

Keywords

acoustic signal detection; learning (artificial intelligence); medical signal detection; multilayer perceptrons; paediatrics; patient monitoring; sleep; ambient acoustic data; frequency domain feature; full-night polysomnography; large hand-labeled dataset; microphone pair; multichannel data acquisition system; multilayer perceptron; obstructive sleep apnea patient; paediatric population; respiratory sounds; snore episode automatic detection; snoring event detection; snoring sound detection; stochastic gradient descent method; supervised learning; Conferences; Educational institutions; Pediatrics; Signal processing; Sleep apnea; Sociology; Statistics; Snoring; multi-layer perceptron; obstructive sleep apnea;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830435

Filename

6830435