闪烁噪声频谱分析生物医学信号：利用脑磁图识别光敏性癫痫
Analysis of Biomedical Signals by Flicker-Noise Spectroscopy: Identification of Photosensitive Epilepsy using Magnetoencephalograms
摘要：
利用闪烁噪声频谱（FNS）方法，通过分析一组正常人和一名光敏性癫痫（PSE）患者对不同颜色组合等亮度闪烁刺激的脑磁图（MEG）信号，来确定神经磁响应的动态特征。识别了不同频带的随机生物医学信号的特征参数。它示出，相对于不同的频带的分析脑磁图响应的参数的分类使得它可以从整体复杂的动态信号的混沌分量的贡献分离。结果表明，在控制对象的情况下，混沌分量可以用反常扩散近似来描述。另一方面，患者的混沌分量的特征在于大量的高频共振。这意味着健康的生物体可以抑制闪烁刺激带来的扰动，并重新组织自己。受光敏性癫痫影响的生物体不再具有这种能力。这一结果也提供了一种方法来模拟大脑皮层活动的各个阶段在体内。举例说明使用“FNS装置”来识别人类大脑活动中即使是最轻微的个体差异，使用他们对外部标准刺激的反应，显示了开发未来“个体医学”的独特可能性。
英文摘要：
The flicker-noise spectroscopy (FNS) approach is used to determine the dynamic characteristics of neuromagnetic responses by analyzing the magnetoencephalographic (MEG) signals recorded as the response of a group of control human subjects and a patient with photosensitive epilepsy (PSE) to equiluminant flickering stimuli of different color combinations. Parameters characterizing the analyzed stochastic biomedical signals for different frequency bands are identified. It is shown that the classification of the parameters of analyzed MEG responses with respect to different frequency bands makes it possible to separate the contribution of the chaotic component from the overall complex dynamics of the signals. It is demonstrated that the chaotic component can be adequately described by the anomalous diffusion approximation in the case of control subjects. On the other hand, the chaotic component for the patient is characterized by a large number of high-frequency resonances. This implies that healthy organisms can suppress the perturbations brought about by the flickering stimuli and reorganize themselves. The organisms affected by photosensitive epilepsy no longer have this ability. This result also gives a way to simulate the separate stages of the brain cortex activity in vivo. The examples illustrating the use of the "FNS device" for identifying even the slightest individual differences in the activity of human brains using their responses to external standard stimuli show a unique possibility to develop the "individual medicine" of the future.
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