脑电动态分维曲线及分维地形图

BRAIN MAPPING OF RUNNING FRACTAL

本文运用分形理论对人体自发脑电进行了分析处理。提出了动态分维地形图的新方法。脑电各导联的分维值大小分布不同，在不同时相中以图形来表示这种分布，能直观地看到脑电波复杂程度分布模式的变化进程。这不仅是从不同角度观察脑电波，而且可克服一般频讼分段地形图不能表达长程的脑电膜式变化的不足。它有可能成为脑功能状态识别的一个判据。

This study analysize elctroencephalogram(EEG)by using fractal theory and visual computationtechnique. On the basis of Katz algorithm we develop a new method,the brain mapping of running fractal(BMRF),todetect the change on the complexity of EEG in a long period.Our experement;hows this method is sensitive,ac-curate,stable and it can overcome faults of power spectrum and compressed spectrum array. Thereafter ,mappings can give a new respect of dynamical view of pararneter of information of complexity of EEGfor clinician. We exploit an integrated EEG analysis system called:EEG Multi-Phase Analysis System(EEGMPAS)by using C and MASM programming language. This system can sample process and analysize EEG waveforms,ofcourse,it can process or analyse other bioelectronic signals as well.