TITLE

Study on Heart Sound Identification based on Connection of HHT and Lifting Wavelet Package

AUTHOR(S)
PANG Chun-ying; HAN Li-xi; LIU Ji-kui
PUB. DATE
January 2014
SOURCE
Journal of Signal Processing;Jan2014, Vol. 30 Issue 1, p112
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Heart sound signal feature extraction and automatic identification have important clinical significance. In order to improve recognition rate of normal and abnormal heart sound signal,in this paper, firstly we used DB6 wavelet to reduce noise of the heart sound signal, and then used the hilbert-huang transform (HHT) to extract the time-domain and frequency-domain characteristic values of heart sound signal, and then extracted band energy values through adaptive lifting wavelet packet, and finally classified and recognized heart sound by support vector machine. We experimented to 240 cases of abnormal heart sounds and normal heart sounds from clinical collection, the results show that recognition rate can reach 97. 2% . It is clear that HHT and adaptive lifting wavelet packet are effective identification means for normal and abnormal heart sound signal.
ACCESSION #
94755421

 

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