摘要
目的:验证去趋势波动分析法应用于脑电信号分析时的有效性。方法:使用去趋势波动分析算法分析不同状态下的脑电信号,把得到的标度指数值进行比较。结果:从心算状态、睁眼状态到闭目安静状态的标度指数越来越大,这表明从心算状态、睁眼状态到闭目安静状态下脑的动力学活性越来越低,并且在时间上具有长程相关性。结论:去趋势波动分析方法在探索不同脑功能状态下EEG的标度指数是否具有显著性差异有一定的价值。
Objective： To proof validity of detrended fluctuation algorithm（DFA）in analysis of EEG signals. Methods： EEG signals of different states were analyzed by DFA and these scaling exponents were compared. Results： The scaling exponents gradually increased from making additive operation、opening eyes to closing eyes, which tells that the dynamics of brain became less activated as the scaling exponents increase.Conclusion： The DFA could be used for discriminate different states of brain function.
出处
《现代电生理学杂志》
2015年第4期211-215,共5页
Journal of Modern Electrophysiology
基金
东莞职业技术学院院级专项项目(2013b01)
关键词
去趋势波动分析方法
脑电信号
标度指数
detrended fluctuation algorithm
electroencephalogram
scaling exponent
