嵌入式脉象诊断仪的一种信号处理与分析方法研究

Research on A Method of Signal Processing and Analysis for Embedded Pulse Diagnosis Device

本文提出一种分辨病理脉象和正常脉象的方法。基于AR模型拟合进行特征提取,由模型系数构成信号的特征集,采用概率统计法进行脉象的聚类识别。

This paper presents a method to distinguish pathological and normal pulse.The feature extraction based on AR model fitting,the signal from the model coefficients constitute the feature set,the use of probability statistics identify the pulse of the cluster.