Electroencephalography Analysis Using Neural Network

To gather information of human activities through brain wave - EEG (Electroencephalogram) signal, various algorithms have been introduced and researched relating to 3 main filters: digital filter, wavelet filter and neural network. By applying filters to identify some different states of EEG, this paper gives an insight of neural network performance, comparing with others, on simple activities of human brain. In details, researched human activities include states involving to eyes behavior, facial expression and thinking signal. The raw EEG signal has been acquired by Emotiv EPOC+and analyzed with Matlab. Furthermore, the comparison of algorithms efficiency has been done with Mean Square Error value and other parameters which demonstrate the possibility of using neural network to analyze EEG signal.