Article citationsMore>>

Z. Syed, D. Leeds, D. Curtis, F. Nesta, R. A. Levine and J. Guttag, “A Framework for the Analysis of Acoustical Cardiac Signals,” IEEE Transactions on Biomedical Engineering, Vol. 54, No. 4, 2007, pp. 651-662. doi:10.1109/TBME.2006.889189

has been cited by the following article:

• TITLE: A Time-Frequency Approach for Discrimination of Heart Murmurs

  AUTHORS: Sepideh Jabbari, Hassan Ghassemian

  KEYWORDS: Phonocardiogram (PCG), Murmur, Matching Pursuit (MP), Time-Frequency atom, Clustering

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.3, August 12, 2011

  ABSTRACT: In this paper, a novel framework based on a time-frequency (TF) approach is proposed for detection of murmurs from heart sound signal. First, a high-resolution TF algorithm, matching pursuit, was used to decompose each heart beat into a series of TF atoms selected from a redundant dictionary. Next, representative components of murmurs were identified by clustering the selected atoms of all the beats into a finite number of clusters. Then, Wigner-Ville distribution of the representative components was used to generate a set of 8 features which were fed to a classifier. Experiments with a dataset consisting of heart sounds from 35 normal and 35 pathological subjects showed a classification accuracy of 95.71% in distinguishing murmurs from normal heart sounds.