Classification for EEG Signals of Different Mental Tasks Based on PNN neural network

摘要

Electroencephalogram (EEG) signal is an important information source of underlying brain processes.The communication based on EEG between human brain and computer is a new modality of human-computer interaction.Through time-domain regression method for EEG Denoising pretreatment, AR model coefficient is extracted as feature vector, and classifies the mental tasks based on PNN network.According to the an analysis and experiment results, the method can get high correct rate of Classification.