文献类型：期刊文献

英文题名：Analysis and classification of wrist pulse using sample entropy

作者：Jianjun, Yan[1]; Yiqin, Wang[2]; Fufeng, Li[2]; Haixia, Yan[2]; Chunming, Xia[1]; Rui, Guo[2]

机构：[1] Center for Mechatronics Engineering, East China University of Science and Technology, China; [2] TCM Syndrome Lab., Shanghai University of TCM, China

年份：2008

起止页码：609

外文期刊名：Proceedings of 2008 IEEE International Symposium on IT in Medicine and Education, ITME 2008

收录：EI(收录号：20091411998143)

语种：英文

外文关键词：Nondestructive examination - Cardiology - Support vector machines - Entropy - Diseases

摘要：The cardiovascular system is complex system containing many nonlinearities. Pulse signals are nonlinear reflecting the status of the heart and the vascular system. Sample entropy analysis can quantify signal regularity or the system complexity generating the signal. In this paper the wrist pulse signals of healthy group and coronary heart disease group are analyzed and studied with sample entropy analysis, and the selection of parameters is discussed. The pulse signals of two groups are classified using support vector machine (SVM), the classification results are analyzed. The results indicate there was difference between the sample entropy of two groups of wrist pulse signals; SVM classifiers have good performance for classification of the two groups. Sample entropy analysis of wrist pulse was helpful for non-destructive inspection of coronary heart disease. ? 2008 IEEE.