Acoustics of snoring and automatic snore sound detection in children

Objective : Acoustic analyses of snoring sounds have been used to objectively assess snoring and
applied in various clinical problems for adult patients. Such studies require highly automatized
tools to analyze the sound recordings of the whole night ’s sleep, in order to extract clinically
relevant snore- related statistics. The existing techniques and software used for adults are not
efficiently applicable to snoring sounds in children, basically because of different acoustic signal
properties. In this paper, we present a broad range of acoustic characteristics of snoring sounds in
children ( N   =  38) in comparison to adult ( N   =  30) patients. Approach : Acoustic
characteristics of the signals were calculated, including frequency domain representations,
spectrogram-based characteristics, spectral envelope analysis, formant structures and loudness of
the snoring sounds. Main results : We observed significant differences in spectral features, for...

Source: Physiological Measurement - October 31, 2017 Category: Physiology Authors: M Çavuşoğlu, C F Poets and M S Urschitz Source Type: research