EEG Discrimination with Artificial Neural Networks

Sérgio Daniel Rodrigues, João Paulo Teixeira, Pedro Miguel Rodrigues


Neurodegenerative disorders associated with aging as Alzheimer’s disease (AD) have been increasing significantly in the last decades. AD affects the cerebral cortex and causes specific changes in brain electrical activity. Therefore, the analysis of signals from the electroencephalogram (EEG) may reveal structural and functional deficiencies typically associated with AD. This study aimed to develop an Artificial Neural Network (ANN) to classify EEG signals between cognitively normal control subjects and patients with probable AD . The results showed that the EEG can be a very useful tool to obtain an accurate diagnosis of AD. The best results were performed using the Power Spectral Density (PSD) determined by Short Time Fourier Transform (STFT) with a ANN developed using Levenberg - Marquardt training algorithm, Logarithmic Sigmoid activation function and 9 nodes in the hidden layer (correlation coefficient training: 0.99964, test: 0.95758 and validation: 0.9653 and with a total of: 0.99245).


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Paper Citation

in Harvard Style

Daniel Rodrigues S., Paulo Teixeira J. and Miguel Rodrigues P. (2013). EEG Discrimination with Artificial Neural Networks . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 236-241. DOI: 10.5220/0004249702360241

in Bibtex Style

author={Sérgio Daniel Rodrigues and João Paulo Teixeira and Pedro Miguel Rodrigues},
title={EEG Discrimination with Artificial Neural Networks},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},

in EndNote Style

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - EEG Discrimination with Artificial Neural Networks
SN - 978-989-8565-36-5
AU - Daniel Rodrigues S.
AU - Paulo Teixeira J.
AU - Miguel Rodrigues P.
PY - 2013
SP - 236
EP - 241
DO - 10.5220/0004249702360241