中医脉象的波形识别

Recognizing Pulse Wqves of Various Types of Pulses in Tratitional Chinese Medicine

本文主要介绍一种中医脉象波形识别的方法:即从中医脉理出发,结合生物力学和心血管系统的生理特征,运用时间序列分析建立自回归——滑动平均模型,提取特征参数,进而用逐步判别规范样本、识别分类,通过实测样本便可制成可判别多种中医脉象及其兼脉的应用软件,实现脉象客观化,同理也可以处理其它类拟的生物医学信号。

Abstract The article chiefly presents the developing principle of recopnizing pulse waves in Traditional Chinese Medicine. Proceeding from the theory of various types of pulses in Traditional Chinese Mdeicine, We use the method of time series analysis to establish ARMA model in the light of the biomechanics and the physiological feelure of cardiovasculetus, extract feelure parameters, then discriminant analyze standerd samples, recognize their classes. By using these methods, We meesured samples, and make applicable software that can distinguish the uarious types of pules in traditional Chinese medicine, and largely objectify these manifestations of the pulse, and establish a whole set of modern acientific means of proeessing many kinds of biomedical synels.