Wrist Pulse Analysis Based on RP and RQA

Chunming Xia, Rui Liu, Yiqin Wang, Haixia Yan, Helge Gewiss
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引用次数: 5

Abstract

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. Keywords-wrist pulse analysis, nonlinear features, syndrome classification, Recurrence Plots (RP), Recurrence Quantification Analysis(RQA)
基于RP和RQA的腕部脉搏分析
腕部脉搏波形分析在中医工程和中医诊断现代化中十分常见。非线性动力学理论已经成为分析生理信号中所包含的一些不可缺少的非线性和混沌信息的工具。腕部脉搏的混沌特性包含着丰富的人体生理和病理信息,但研究很少。本文提出了一种非线性定性和定量分析方法,即递归图(recurrent Plots, RP)和递归量化分析(recurrent Quantification analysis, RQA),来分析两种腕部脉冲时间序列。采用RP和RQA对对照组、心血管病患者和其他4种常见中医脉冲序列进行分析,提取非线性特征,并将非线性特征用于分类和判别。实际数据分析结果表明,所提出的RP和RQA方法是可行的,并显示了在证候分类和诊断中进一步应用的潜力。关键词:腕部脉搏分析,非线性特征,证候分类,复发图(RP),复发量化分析(RQA)
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