Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/9710
Título: EEG discrimination with artificial neural networks
Autor: Rodrigues, Sérgio Daniel de Luís
Teixeira, João Paulo
Rodrigues, Pedro Miguel
Palavras-chave: Electroencephalogram
Alzheimer’s disease
Artificial neural network
Data: 2013
Citação: Rodrigues, Sergio Daniel; Teixeira, João Paulo; Rodrigues, Pedro Miguel (2013) - EEG discrimination with artificial neural networks. In 6th International Joint Conference on Biomedical Engineering Systems and Technologies. Barcelona
Resumo: Neuro degenerative disorders associated with aging as Alzheimer’sdisease(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).
Peer review: yes
URI: http://hdl.handle.net/10198/9710
Aparece nas colecções:DE - Publicações em Proceedings Indexadas ao ISI/Scopus

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