title: New approach on analysis of pathologic cardiac murmurs based on WPD energy distribution.
abstract: In this paper, an approach on analysis of the pathologic cardiac murmurs for congenital heart defects was proposed based on the wavelet packet (WP) technique. Considering the difference of the energy intensity distributions for the innocent and pathologic murmurs in frequency domain, the WP decomposition was introduced and the WP energies at each frequency band were calculated and compared. Based on the analysis of a large amount of clinic heart sound data, the murmurs energy distributions were divided into five frequency bands, and the relative evaluation indexes for cardiac murmurs (ICM) were proposed for analysis of the pathologic murmurs. Finally, the threshold values between the innocent and pathologic cardiac murmurs were determined based on the statistical results of the normal heart sounds. The analysis results validate the proposed evaluation indexes and the corresponding thresholds.
authors.affiliation: Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan.
authors.forename: Zhongwei
authors.initials: Z
authors.lastname: Jiang
authors.affiliation: Graduate School of Science and Engineering, Yamaguchi University, Yamaguchi, Japan.
authors.forename: Ting
authors.initials: T
authors.lastname: Tao
authors.affiliation: School of Electrical and Information Engineering, Xihua University, Chengdu, China.
authors.forename: Haibin
authors.initials: H
authors.lastname: Wang
mesh_terms: D000328:Adult; D002648:Child; D002675:Child, Preschool; D006326:Heart Auscultation / Q000379:methods*; D006330:Heart Defects, Congenital / Q000503:physiopathology; D006337:Heart Murmurs / Q000503:physiopathology*; D006347:Heart Sounds / Q000502:physiology*; D006801:Humans; D007223:Infant; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult
keywords: cardiac murmurs analysis; congenital heart defects; energy distribution; evaluation index; wavelet decomposition