脑电情感信号正确提取仿真

脑电信号是一种微伏级信号，从头皮上采集的脑电信号包含眼电信号、心电信号以及各种环境噪音。针对情感识别如何有效处理脑电信号的问题，本文首先对实验采集的脑电信号应用小波分析和独立分量分析进行预处理去除干扰；其次为了有效地提取脑电特征，应用幅值直方图、标准差在时域上定性地找出2种情感的脑电差异；最后应用功率谱对2种情感脑电的γ波节律进行谱分析。仿真实验结果表明，将脑电信号的γ波节律用于情感识别是可行的。

Simulation About Accurate Extraction of Emotional EEG

EEG signal is a kind of microvolt signal. Collected from the scalp, EEG signals contain EOG signals, ECG signals as well as a variety of environmental noise. For the problem how the emotion recognition does effectively deal with EEG signals, firstly, the collected EEG signals from experiments are pretreated for removing interferences by using wavelet analysis and independent component analysis; secondly, in order to effectively extract EEG signal features, the amplitude histogram and standard difference are used to find qualitatively in time domain the differences in brain power of two kinds of emotion; lastly, the power spectrum is used to analyze the two emotional EEG gamma wave rhythm. The experimental simulation results show that it is feasible to use the gamma wave rhythm of EEG signals for emotion recognition.