DocumentCode :
320108
Title :
Automated breath sound analysis
Author :
Oud, Mireille ; Dooijes, Edo H.
Author_Institution :
Dept. of Comput. Sci., Amsterdam Univ., Netherlands
Volume :
3
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
990
Abstract :
A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of I-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV1), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that “automated stethoscopy”, tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible
Keywords :
acoustic signal processing; bioacoustics; medical signal processing; pneumodynamics; I-nearest neighbour classification; air-flow information; airways obstruction; automated breath sound analysis; automated stethoscopy; computer aided sound analysis; detailed spectral information; diagnostic tool; lung function; lung sound; normal breathing; tracheal sound recordings; Acoustic testing; Analysis of variance; Computer science; Digital filters; Digital recording; Frequency; Information analysis; Lungs; Pattern analysis; Sensitivity and specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.652675
Filename :
652675
Link To Document :
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