EEG Signal Identification Using Single-Layer Neural Network

EEG signal analysis is applied in various fields such as medicine, communication and control.To control based on EEG signals achieved good result, the system must identify effectively EEG signals.In this paper, a novel approach proposes the EEG signal identification based on image with the EEG signal processing via Wavelet transform and the identification via single-layer neural network.The system model is designed and evaluated with the dataset of 21,000 samples.The accuracy rate can obtain 91.15%.