DocumentCode :
2848391
Title :
Modeling of respiratory crackles
Author :
Kahya, Yasemin P. ; Yilmaz, C. Asli
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
632
Abstract :
Crackles, extracted from lung sounds recorded from pathological subjects, are parameterized using Prony modeling of order two. The scatter plots of Prony parameters show that there is a correlation between the type of pathology and the lung volume of crackle occurrence and the Prony frequencies. These distinctive distributions of crackle populations of each disease indicate that Prony modeling generates crackle parameters which are promising features to be used in the classification of lung sounds along with the more conventional feature set of AR or ARMA model parameters
Keywords :
acoustic signal processing; bioacoustics; diseases; feature extraction; medical signal processing; physiological models; pneumodynamics; ARMA model parameters; Prony frequencies; crackle parameters; disease crackle populations; distinctive distributions; lung sounds classification; pathological subjects; respiratory crackles modeling; scatter plots; Acoustic noise; Acoustic scattering; Diseases; Explosives; Feature extraction; Frequency; Lungs; Monitoring; Pathology; Scattering parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900823
Filename :
900823
Link To Document :
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