Quang Chuyen Lam¹ and Luong Anh Tuan Nguyen² and Huu Khuong Nguyen^3
1Ho Chi Minh City Industry and Trade College, Vietnam and ²Ho Chi Minh City University of Transport, Vietnam

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 identifyeffectively 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%.

EEG signal, Wavelet Transform, Neural Network