文献类型：期刊文献

英文题名：Wrist pulse analysis based on RP and RQA

作者：Xia, Chunming[1]; Liu, Rui[1]; Wang, Yiqin[2]; Yan, Haixia[2]; Gewiss, Helge[3]

机构：[1] Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] School of Basic Medicine, Shanghai University of TCM, Shanghai 200032, China; [3] University of Applied Sciences, Luebeck 23562, Germany

年份：2009

外文期刊名：Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

收录：EI(收录号：20100312643754)

语种：英文

外文关键词：Physiology - Nonlinear analysis - Computer aided diagnosis - Time series analysis

摘要：Wrist pulse waveform analysis is common in Traditional Chinese Medicine (TCM) engineering and diagnosis modernization. Nonlinear dynamics theory has been a tool in the analysis of physiological signals containing some nonlinear and chaotic information indispensable. The chaotic properties of wrist pulse containing a wealth of human physiological and pathological information were seldom studied. An application of nonlinear qualitative and quantitative analysis method, i.e., Recurrence Plots (RP) and Recurrence Quantification Analysis(RQA), to analyze the two kinds of wrist pulse time series is proposed in this paper. Both controls and patients with cardiovascular diseases, and the other kind of series of 4 common TCM pulses are analyzed by RP and RQA to extract nonlinear features, which are then used for classification and discrimination. The results from analyzing real data show the feasibility of the proposed RP and RQA method and indicate the potential of further applications to syndrome classification and diagnosis. ?2009 IEEE.