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