基于血液动力学原理的中医脉搏波特征提取与识别  

Feature extraction and recognition of traditional Chinese medicine pulse based on hemodynamic principles

作　　者：郭睿[1] 王忆勤[1] 燕海霞[1] 李福凤[1] 颜建军[2] 许朝霞[1] 刘国萍[1] 

机构地区：[1]上海中医药大学四诊信息化综合研究实验室,上海201203 [2]华东理工大学机械与动力工程学院,上海200237

出　　处：《中西医结合学报》2010年第8期742-746,共5页Journal of Chinese Integrative Medicine

基　　金：国家"十一五"科技支撑计划资助项目(No.2006BAI08B01-04);上海市重点学科第3期建设计划资助项目(No.S30302);上海市优秀学科带头人计划资助项目(No.09XD1403700);上海高校选拔培养优秀青年教师科研专项基金资助项目(No.szy07032)

摘　　要：作者根据血液动力学原理,分析脉搏波形成的原因,认为中医不同脉象波形的形成与脉搏波的传播和反射特性有关,提出以表征脉搏波传播特性的波速和表征脉搏波反射特性的反射系数作为中医脉象的特征参数,利用支撑向量机对其进行分类识别。对正常人群常见脉象(平脉、弦脉和滑脉)的脉搏波波速和反射系数所作的分析,以及采用径向基核函数的支撑向量机对其所进行的分类,进一步证明血液动力学参数波速和反射系数作为具有生理病理意义的特征参数,能有效区分平、弦、滑脉。这为脉图的识别提供了一个新的思路。In this paper,factors contributing to the formation of pulse wave were analyzed based on hemodynamic principles.It is considered that formation of pulse wave was related to its propagation and reflection characteristics.Propagation of the pulse wave was characterized by pulse wave velocity,and reflection of the pulse wave was characterized by reflection coefficient.Pulse wave velocity and reflection coefficient were proposed as the eigenvectors of pulse wave in pulse diagnosis of traditional Chinese medicine,and support vector machine （SVM） was used to recognize slippery pulse,stringy pulse and plain pulse.Pulse wave velocity and reflection coefficient of the slippery,stringy and plain pulses in healthy people were calculated in this study,and SVM with Gaussian radial basis function was used for classifying.Results showed that pulse wave velocity and reflection coefficient with physiological and pathological significance had advantages in distinguishing slippery pulse,stringy pulse and plain pulse,which offered a new idea for recognizing pulse condition.

关 键 词：血液动力学 脉搏波 波速 反射系数 支撑向量机 

分 类 号：R318[医药卫生—生物医学工程]