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Abstract
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Article Information:
Method of Heart Sound Recognition Based on Wavelet Packet and BP Network
Guohua Zhang and Zhongfan Yuan
Corresponding Author: Guohua Zhang
Submitted: July 12, 2012
Accepted: August 28, 2012
Published: February 11, 2013 |
Abstract:
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Based on the wavelet packet, a method for extracting the sub-band energy is developed to extract pathological features of heart sound signal. The db6 wavelet and sym7 wavelet are taken as the mother functions and the best wavelet packet basis of heart sound signal is picked out. Then, seven kinds of heart sound signals are decomposed into five levels and the wavelet packet coefficients of the best basis are obtained. According to the equal-value relation between wavelet packet coefficients and signal energy, the normalized sub-band energy of the best basis is extracted as the feature vector. Then, seven recognition models are trained separately based on BP network. These models are tested by using 70 heart sounds and the mean of recognition accuracy is 77.14%.
Key words: Feature extraction, heart sound, recognition model, wavelet packet, , ,
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Cite this Reference:
Guohua Zhang and Zhongfan Yuan, . Method of Heart Sound Recognition Based on Wavelet Packet and BP Network. Research Journal of Applied Sciences, Engineering and Technology, (05): 1568-1572.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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