An automatic system for crackles detection and classification

被引：0
|
作者：
Lu, Xiaoguang [1 ]
Bahoura, Mohammed [1 ]
机构：
[1] Univ Quebec, Dept Math Info Genie, 300 Allee Ursulines, Rimouski, PQ G5L 3A1, Canada
来源：
2006 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-5 | 2006年
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an automatic system for crackles detection and classification is developed. The proposed system is preceded by a stationary-nonstationary filter based on the wavelet packet transform (WPST-NST) which isolates the crackles from the vesicular sounds. The crackle analysis consists of three major steps: Firstly, a denoising filter is applied to suppress the stationary residual noise in non-stationary signal. Secondly, a new version of crackles detection based on the fractal dimension is presented. The avantage of this method is to detect crackles even they are week or overlapped. Finally, the extracted crackles am classified into fine or coarse crackles. The time-frequency analysis, the Prony model and matched wavelet analysis techniques are tested and compared in this paper.
引用
收藏
页码：712 / +
页数：2
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