临床常见六种脉象信号特征研究

提出以时域特征和模态能量商特征相结合进行脉象信号识别的方法。首先根据脉象信号的波形特征,计算脉象信号的h1,h3,h4,h3/h1,h4/h1,t1,t,k时域特征参数;然后对脉象信号进行EMD分解,计算6种脉象信号的模态能量商。通过临床200例脉象信号的采集和分析计算,获得临床上常见脉象信号的典型时域特征,确定弦脉的模态能量商R1,滑脉、沉脉、细脉、缓脉、平脉的R值依次降低,且R1。实验结果表明:时域特征和模态能量商特征相结合的方法可实现临床常见脉象信号的识别。

Research on the Features of Six Common Clinical Pulse Signals

In this paper,a method is proposed in order to achieve the recognition of clinical pulse signals,that is,the combination of time domain characteristics and modal energy quotient characteristics. First,the time domain characteris-tic parameters h1,h3,h4,h3/h1,h4/h1,t1,t,k of pulse signals are calculated according to the pulse signal wave-form characteristics. Second,based on EMD which can adaptively decompose the non—stationary signal,the pulse sig-nals are decomposed to calculate the modal energy quotient. By analyzing and calculating 200 clinical cases of pulse sig-nal, we acquired the typical time features of clinical common pulse signal, and determined wiry pulse modal energy quotient R>1, slippery pulse, sunken pulse, fine pulse, slow pulse and flat veins R values in descending order, and R<1. The results testify that the combination of time domain characteristics and modal energy quotient characteristics can effectively identify clinical common pulse signals.