A Study on the Segmentation of Heart Sound
In order to perform the automatic analysis of heart sounds, segmentation of first (s1) and second (s2) heart sounds is a very important task. In this study, an effective segmentation method of the heart sound signals is proposed based on empirical mode decomposition and Hilbert transform. Initially, the signal is filtered by using empirical mode decomposition to remove the ambient and physiological noise interference introduced during heart sound acquisition. Next, the envelope of the heart sound is extracted by Hilbert transform. Then, the timing information of s1 and s2 are identified based on biomedical domain knowledge. The method has been tested with data collected from normal and coronary artery disease Subjects. Experimental results show that 92.63％ and 86.67％ segmentation accuracies are obtained for normal and coronary artery disease Subjects, respectively.
heart sound empirical mode decomposition segmentation Hilbert transform
S.-T. Wang Z.-D. Zhao
School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, China School of Electronics Information, Hangzhou Dianzi University, Hangzhou, Zhejiang, China
国际会议
厦门
英文
224-227
2010-10-26（万方平台首次上网日期，不代表论文的发表时间）