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基于模糊识别方法的脉象信号分类识别

Identification Classifying of the Pulse Based on the Fuzzy Identification Method

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【作者】 王燕蔡吉飞沈韶华房瑞明王平

【Author】 WANG Yan;CAI Jifei;SHEN Shaohua;ZHANG Yang;FANG Ruiming;WANG Ping;Beijing Institute of Graphic Communication,School of Mechanical Engineering;

【机构】 北京印刷学院机电工程学院

【摘要】 为了能够对脉象信号客观化、定量化的识别研究,采用模糊理论方法对脉象信号进行分类识别,将脉象信号的指感描述和判定规则进行客观描述和定量化,确定脉象指感因素的模糊输入变量;根据脉象信号的提取特征和脉象分类确定输出模糊变量;根据脉象定义确定模糊推理规则,从而完成可信度表示的脉象分类。得出采用模糊识别方法可以有效完成脉象信号分类识别的结论。

【Abstract】 In order to identify and research the pulse signal of the objectification and quantification,this paper applies the method of fuzzy theory to identify the pulse. Objectification and quantification variable of describing the feeling factor of pulse,makes sure the fuzzy inputting variable; according to the pulse’s feature extraction it makes sure the fuzzy output variable; according to the definition of pulse it makes sure the rule of fuzzy reasoning,to finish the pulse classifying basing reliability. It concludes that complying the method of fuzzy theory can identify the pulse signal effectively.

【基金】 北京印刷学院校级重点研究项目(E-a-2012-27);北京印刷学院校级重点研究项目(E-a-2013-17);北京市教委面上项目(18190114/013)
  • 【文献出处】 北京印刷学院学报 ,Journal of Beijing Institute of Graphic Communication , 编辑部邮箱 ,2014年06期
  • 【分类号】TN911.6
  • 【被引频次】6
  • 【下载频次】170
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