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倒双谱估计在海洛因吸毒者脉象信号检测中的应用
引用本文:黄镭 刘宗行 蔡坤宝. 倒双谱估计在海洛因吸毒者脉象信号检测中的应用[J]. 重庆理工大学学报(自然科学版), 2007, 21(13): 98-102
作者姓名:黄镭 刘宗行 蔡坤宝
作者单位:重庆大学通信工程学院,重庆400044
基金项目:重庆市自然科学基金资助项目(CST,2004BB5061).
摘    要:提出了用倒双谱估计和BP神经网络来检测中医脉象信号的方法,用该方法对15例吸毒者和15例正常人的脉搏波的倒双谱进行了估计,提取出每例脉搏波信号的倒双谱的3个特征参数,并将这3个参数构造1个三维特征参数向量作为所设计的BP神经网络的1个样本输入.研究结果表明。该方法能有效地区分吸毒者和正常人脉象信号的差异,并可进行自动识别.

关 键 词:脉象信号 高阶倒谱 倒双谱 BP神经网络
文章编号:1671-0924(2007)07-0098-05
收稿时间:2007-04-05
修稿时间:2007-04-05

Application of Bicepstrum Estimation in Detecting Pulse Signals of Druggers
HUANG Lei, LIU Zong-hang, CAI Kun-bao. Application of Bicepstrum Estimation in Detecting Pulse Signals of Druggers[J]. Journal of Chongqing University of Technology(Natural Science), 2007, 21(13): 98-102
Authors:HUANG Lei   LIU Zong-hang   CAI Kun-bao
Affiliation:College of Communication Engineering, Chongqing University, Chongqing 400044, China
Abstract:The bicepstnnn estimation and BP neural network are used to detect human pulse signals suecessfully. As the first step, the bicepstra of the pulse sills for 15 heroin addicts and 15 healthy persons are estimated. Then, three parameters are extracted from every bicepstrum which are integrated into a three-dimensional vector used as a sample input to a designed two-layer BP neural network. The research result shows that the method presented in this paper can effectively recognize the difference between the pulse signals of heroin druggers and normal persons, and thus can automatically identify.
Keywords:pulse signal    higher-order cepsira   bicepstnnn   BP network
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