基于局部特征尺度分解及分形维数的EEG监测程序研制

Development of EEG Monitoring Program Based on Local Feature Scale Decomposition and Fractal Dimension

针对目前脑电特征手段多样但预测效果不理想的问题,采用局部特征尺度分解和分形维数相结合的方法进行脑电信号特征提取,输入概率神经网络进行脑电信号发病预测,并利用Labview进行软件开发,制作了一款能够对癫痫病进行准确分类的应用程序。

Aiming at the problem that the current EEG feature methods are diverse but the prediction effect is not ideal,the method of combining local feature scale decomposition and fractal dimension is used to extract the features of EEG signals,and input the probabilistic neural network to predict the onset of EEG signals.Labview is used for software development,and an application program that can accurately classify epilepsy is made.