将脑电非线性分析结合大脑的皮层分区理论，尝试解释针灸治疗的机理。
Based on the theory of functional regions on brain, the mechanism of acupuncture is analyzed using nonlinear algorithms.
目的探讨图形记忆任务过程中脑电非线性动力学特性的变化规律，以及脑电非线性分析在记忆过程研究中的作用。
ObjectiveTo investigate the changes of non-linear dynamics characteristics of EEG during picture memory masks, and the application of non-linear dynamic analysis for memory research.
主要内容：对原始脑电信息进行非线性分析，将微透析结果与脑电非线性分析结果相结合，建立脑电非线性实时监测分析系统。
Main content:To set up real time anestheisa monitoring system with combination of the relationship of the Micro-dialysis's results and the EEG non-linear's results from primitive EEG signal.
目的：应用脑电波变化的非线性动力学特征，以混沌理论对长时程视频脑电资料进行分析，以期预测癫痫发作。
AIM: to analyze the long term video electroencephalogram data with chaos theory according to non linear dynamical character of the changes of brain wave so as to predict epileptic seizure.
目的探讨在不同认知作业状态下脑电非线性动力学特性的变化规律，以及脑电非线性动态分析在认知过程研究中的作用。
Objective To investigate the changes of non-linear dynamics properties of EEG under different mental tasks, and the application of non-linear dynamic analysis for cognitive function research.
结论作为脑电信号非线性定量分析的一种研究方法，双谱分析可显示出常规脑电分析时无法显示的有价值的高阶信息。
ConclusionBeing a quantitative method of non-Gaussianilty and nonlinearity for EEG study, the bispectral analysis can give more useful high-order information.
复杂性分析是一种非线性分析方法，在脑电的分析，心电分析，CT图像分析等诸多方面有良好的应用。
As a nonlinear method, complexity analysis is widely used to study the EEG, ECG and CT images.
复杂性分析是一种非线性分析方法，在脑电的分析，心电分析，CT图像分析等诸多方面有良好的应用。
As a nonlinear method, complexity analysis is widely used to study the EEG, ECG and CT images.
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