Crackle Sounds Analysis By EprclMode Decomposition

Author

Charleston-Villalobos, S. ; Gonzalez-Camarena, R. ; Chi-Lem, G. ; Aljama-Corrales, T.

Author_Institution

Univ. Nacional Autonoma de Mexico, Mexico City

Volume

26

Issue

1

fYear

2007

Firstpage

40

Lastpage

47

Abstract

In this article, the application of a newly developed signal analysis technique, the empirical mode decomposition (EMD) to detect fine and coarse crackles has been presented. The qualitative evaluation by inspecting the results of simulated and real cases demonstrates that EMD application is promising, especially for low SNR and for isolated or overlapped fine crackles. For coarse crackles, the task to identify their position and type is more demanding. Future work includes joining EMD with other signal processing techniques, to determine whether identification of crackles or any other adventitious events may be improved

Keywords

acoustic signal processing; bioacoustics; lung; medical signal processing; signal denoising; coarse crackle sound analysis; empirical mode decomposition; fine crackle sound analysis; lung sounds; nonlinear signal analysis; nonstationary signal analysis; Digital filters; Filtering; Frequency domain analysis; Gold; Lungs; Pathology; Signal analysis; Time domain analysis; Time frequency analysis; Timing; Algorithms; Artifacts; Auscultation; Computer Simulation; Diagnosis, Computer-Assisted; Fractals; Humans; Lung Diseases; Models, Biological; Nonlinear Dynamics; Reproducibility of Results; Respiratory Sounds; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Sound Spectrography; Stochastic Processes;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/MEMB.2007.289120

Filename

4069354