Analysis and Classification of Wrist Pulse using Sample Entropy

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.

作者: JIANJUN Yan YIQIN Wang FUFENG Li HAIXIA Yan CHUNMING Xia RUI Guo

作者单位: Center for Mechatronics Engineering,East China University of Science and Technology TCM Syndrome Lab,Shanghai University of TCM

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 609-612

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）