利用排列小波熵评价脑电信号中的爆发抑制水平

Use of permutation wavelet entropy to evaluate EEG burst suppression

为了评价脑电信号的爆发抑制水平,本文从非线性动力学的角度出发,通过计算脑电信号的排列熵,再计算排列熵的小波熵,得到一种新的参数排列小波熵(PEWE)于量化脑电信号的爆发抑制水平。结果表明,在4例数据的测试中,PEWE与双谱指数模块输出的爆发抑制比指数的相关系数达0.9425,因此,PEWE可以作为一种新参数来量化EEG信号的爆发抑制水平,为评价EEG信号的爆发抑制水平提供了新思路。

From the perspective of nonlinear dynamics,the permutation entropy of electroencephalogram(EEG)signal is calculated,and then the wavelet entropy of the obtained permutation entropyis calculated to obtain a new parameter,namely permutation wavelet entropy(PEWE),for quantifying the burst suppression level of EEG signal.The results show that in the test of 4 cases of data,the correlation coefficient between PEWE and SR index output by the BIS module is 0.9425,indicating that PEWE can be used as a measure to quantify the burst suppression level of EEG signal,which provides a new idea to evaluate EEG burst suppression.