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脑电波形显示出脑细胞群自发而有节奏的电活动,一般用波幅、频率和相位等特征来描述。全身麻醉时,脑电图(electroencephalogram,EEG)频率随麻醉加深或变浅呈顺序变化,与麻醉药浓度呈函数关系,因此能被用来反映麻醉深度。但在早期,多采用EEG的时域特征来反映麻醉深度,主要分析EEG波形的几何性质。随着快速傅立叶变换技术的成熟,越来越多的EEG频域特征可用来反映麻醉深度,将
EEG waveforms show spontaneous and rhythmic electrical activity of the brain cell population, generally described in terms of amplitude, frequency, and phase. During general anesthesia, the frequency of electroencephalogram (EEG) changes in a sequential manner as the anesthesia deepens or goes down, and as a function of anesthetic concentration, it can be used to reflect the depth of anesthesia. However, in the early stage, the temporal characteristics of EEG were mostly used to reflect the depth of anesthesia, and the geometric characteristics of EEG waveforms were mainly analyzed. With the rapid Fourier transform technology maturing, more and more EEG frequency domain features can be used to reflect the depth of anesthesia, will