DocumentCode :
380928
Title :
Snoring sound intensity study with ambient and tracheal microphones
Author :
Sola-Soler, J. ; Jane, R. ; Fiz, JA ; Morera, J.
Author_Institution :
Dept. ESAII, Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
2032
Abstract :
Snoring sound intensity is an index of the disturbance level caused by the snoring phenomenon. Snore intensity is usually calculated from the ambient sound signal by means of an analogue sound analyser. The snoring sound can also be acquired with a microphone placed on the trachea. In this study, an algorithm is proposed to calculate the snoring intensity from both ambient and tracheal snoring sound signals. The algorithm was validated by a calibrated sound source. It was applied to study the relationship between ambient and tracheal snoring intensity, both in simulated snores from volunteers and in real recordings from simple snorers and obstructive sleep apnea syndrome patients. Linear correlation coefficient, linear regression line and quadratic polynomial fit between ambient and tracheal snore intensity values were explored. Ambient snore intensity was found to be predictable from tracheal snore intensity by a simple regression line with rather good accuracy.
Keywords :
acoustic intensity; acoustic signal processing; bioacoustics; biomedical measurement; mean square error methods; medical signal processing; microphones; sleep; acoustic intensity; ambient microphones; ambient snore intensity; disturbance level; linear correlation coefficient; linear regression line; obstructive sleep apnea syndrome patients; quadratic polynomial fit; simple snorers; snoring sound intensity; snoring sound signals; tracheal microphones; tracheal snore intensity; Acoustic sensors; Hospitals; Linear regression; Microphones; Mouth; Polynomials; Pressure measurement; Signal analysis; Sleep apnea; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020631
Filename :
1020631
Link To Document :
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