Mental tasks discrimination by neural networks with wavelet transform

The study mainly focuses on the analysis of Electroencephalogram (EEG), to classify mental tasks by using features based on wavelet transform, and finds that the neural networks perform over 75% success resulting with small number of electrodes better than a previous 70% resulting.