亚健康脉象信号的非参数化双谱估计

Nonparametric bispectrum estimation for pulse signals of sub-health

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,提取处于亚健康状态的脉象信号的异常信息,探索亚健康的诊断与治疗评估的客观诊断依据。在信号处理过程中,双谱的相位携带有信号的重要特征信息。采用双谱估计分析法中的非参数化算法对脉象信号进行研究发现,处于亚健康状态的双谱幅值谱峰比处于健康状态的更突出,较大双谱值的分布更为集中。实验结果表明:非参数化双谱估计是分析脉象信号的有效且可行的方法,可以作为识别亚健康状态的方法进行深入研究。

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 sub-health and providing the objective judgment basis to the initial diagnosis and treatment of the sub-health. The phase of bispectrum carries the important feature information in signal processing. Using the nonparametric bispectrurn estimation to analyze the subhealth, it is found that in sub-healthy state of the bispectrum amplitude peaks in the health status than the more prominent, the larger value of the distribution bispectrum more focused. Experiment results of classification show that the method is feasible and effective. A new method for identifying the sub- health status was presented.