A Neural Network Based EEG Temporal Pattern Sonification

This paper presents a technique to provide an acoustic representation of electroencephalogram (EEG) data using neural networks. The sample EEG consists of actual random movements of left and right hand recorded with eyes closed of a 21-year old, right handed male with no known medical conditions. In addition, an EEG signal simulator was used to generate random EEG signals aside from the actual EEG data used. Pre-data processing was done using short time Fourier transform (STFT) and singular value decomposition (SVD) techniques. A neural network (NN) based system was used to sonify the EEG data into an acoustic sound in the C5B5 octave. Keywords—EEG, sonification, short time Fourier transform, singular value decomposition, neural network