DocumentCode :
3347834
Title :
A Robust Envelope Extraction Algorithm for Cardiac Sound Signal Segmentation
Author :
Zhong, Lisha ; Guo, Xingming ; Ji, An ; Ding, Xiaorong
Author_Institution :
Coll. of Bioeng., Chongqing Univ., Chongqing, China
fYear :
2011
fDate :
10-12 May 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, a new method based on Morlet wavelet is proposed to extract the energy envelope of heart sound. Noise can be decomposed to a different frequency channel for smoothing, thereby reducing the impact of noise. And then physiological criteria of time interval, the ratio of systolic and diastolic duration and phonocardiogram (PCG) collecting position are employed to differentiate S1 and S2. The experiment results show that this envelope extraction algorithm is more sensitive (morlet detection rate of 88.29% versus 66.77% of Hilbert method) in processing signals with low ratio of S/N (signal/noise). This indicates that our method is more robust for heart sound signal detection.
Keywords :
medical signal processing; noise; phonocardiography; signal detection; wavelet transforms; Morlet wavelet; cardiac sound signal segmentation; diastolic duration; energy envelope; frequency channel; heart sound signal detection; noise; phonocardiogram collecting position; physiological criteria; robust envelope extraction algorithm; signal-noise ratio; systolic duration; Band pass filters; Feature extraction; Heart; Noise; Sensitivity; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
ISSN :
2151-7614
Print_ISBN :
978-1-4244-5088-6
Type :
conf
DOI :
10.1109/icbbe.2011.5781655
Filename :
5781655
Link To Document :
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