A wavelet-based instrument for detection of crackles in pulmonary sounds

Author

Kahya, Yasemin P. ; Yerer, Serkan ; Cerid, Omer

Author_Institution

Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey

Volume

4

fYear

2001

fDate

2001

Firstpage

3175

Abstract

Crackles are discontinuous adventitious respiratory sounds, which are considered as signs of various pulmonary disorders, therefore their detection is important in the analysis of lung sounds. In this work, an instrument for separating crackles from stationary lung sounds and quantifying their characteristics is realized with DSP. The detection algorithm is based on increasing transient to background ratio by adaptive filtering and implementing nonlinear operators to wavelet based decomposed lung sounds.

Keywords

acoustic signal processing; adaptive filters; bioacoustics; diseases; lung; medical signal detection; patient diagnosis; pneumodynamics; wavelet transforms; DSP; adaptive filtering; crackle detection; detection algorithm; discontinuous adventitious respiratory sounds; lung sound analysis; nonlinear operators; pulmonary diseases; pulmonary disorders; pulmonary sounds; respiratory cycle; stationary lung sounds; stethoscope; transient to background ratio; wavelet based decomposed lung sounds; wavelet-based instrument; Acoustic noise; Band pass filters; Digital signal processing; Diseases; Frequency; Instruments; Lungs; Preamplifiers; Stethoscope; Timing;

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.2001.1019496

Filename

1019496