双谱估计在中医脉象信号分析中的应用

根据脉象信号的非高斯随机特性，应用双谱估计对其进行分析，旨在提取吸毒者脉象信号的异常信息，并得出初步区分正常人与吸毒者的判断依据．在信号处理过程中，双谱的相位携带有脉象信号的重要特征信息．采用双谱估计分析法中的非参数化间接算法对15例海洛因吸毒者和15例正常人的脉象信号进行了分析，提取出双谱估计的平均相位值，发现吸毒者脉象信号在特定频率区域内的平均相位值Ph一般低于正常人的Ph值．以平均相位值作为判断正常人和吸毒者的特征参量，提出了用于划分正常人和吸毒者的临界参数，据此15例正常人全被检测出来，但有1例吸毒病人被误判．研究结果表明．非参数化双谱估计是分析脉象信号的有效且可行的方法．

Application of Bispectrum Estimation to Analyzing Pulse Signals

According to non-Gaussianity and randomness of the Pulse Signals, the bispectrum estimation is used to analyze the signals for the purpose of extracting the unusual information of the signals of-the drug abusers and educing the judgment of how to distinguish drug abusers from healthy persons. The phase of bispectrum carries the important feature information in signal processing. The feature vector of the average phase information based on the indirect nonparametric bispectrum estimation is extracted and used to analyze the Pulse Signals of 15 heroin addicts and 15 healthy persons. It is found that the average phase Ph of heroin addicts on a specified frequency region is generally lower than that of healthy persons. Using the average phase Ph as characteristic parameter, a critical parameter is determined that is used to classify heroin addicts and healthy persons. Thus, all of the 15 healthy addicts are identified. Only one heroin person is misjudged. Experiment results of classification show that the method is feasible and effective.