【摘要】 脑电同步被认为是脑功能区域整合的表现。我们从脑电同步产生的生理机制出发,阐述了同步的检测过程及量化方法研究。从信号分析方法着手,系统研究了如何把时域分析、频域分析、希尔伯特变换等方法应用到脑电同步研究领域,重点提出了小波分析衡量信号同步程度的处理过程。应用仿真数据和真实数据分别证明了以上方法在脑电同步分析中的可行性和有效性,并比较了各个方法的特点。从最终的结果可以看到,通过希尔伯特变换进行的同步性量化,更能反映数据的真实性,更符合生物信号的特性。更多还原

【Abstract】 Synchronous brain activities are regarded as the indicator of the functional integration of the brain.Based on the physiological mechanism of synchronous activity,the detection process and research on quantification methods concerning synchronization are explained.Conventional and modern signal processing approaches,such as time analysis,frequency analysis,Hilbert transform(HT),especially wavelet transform(WT),are applied to EEG(electroencephalograph) synchronization study.Simulation data and real data are utilized to test the methods mentioned above,which prove the usefulness and validity of methods.According to the final results,Hilbert analysis is better for its authenticity.更多还原