Radial Basis Function Neural Network for Classification of Quantitative EEG in Patients with Advanced Chronic Renal Failure

Author:

Barios Juan A.,Gonzalez César,Benbunan Bettina,Fernández-Armayor Victor,Teruel José L.,Fernández Milagros,Pedrera Antonio,Gaztelu José M.

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Gabor, A.J., Seyal, M.: Automated interictal EEG spike detection using artificial neural networks. Electroencephalography and Clinical Neurophysiology 83(5), 271–280 (1992), ISSN: 0013-4694

2. Gaztelu, J.M., Martino, M.E., Fernández-Lorente, J., Romero-Vives, M., de Vicente, E., Bárcena, R.: Sleep EEG spectral characteristics disclose subclinical hepatic encephalopathy. In: Society for Neuroscience XXXI Annual Meeting. San Diego, California, November 10-15 (2001)

3. Martino, M.E.: Análisis cuantitativo del electroencefalograma en pacientes cirróticos. Implicaciones diagnósticas y terapéuticas. PhD Doctoral Thesis, UAM, Madrid (2003)

4. Barios, J.: Caracterización de la actividad oscilatoria cerebral durante el sueño lento. Alteraciones en la encefalopata hepática mínima y modicaciones con el trasplante hepático. PhD Doctoral Thesis, UAM, Madrid (2008)

5. Bourne, J.R., Ward, J.W., Teschan, P.E., Musso, M., Johnston, J.R., Ginn, H.E.: Quantitative assessment of the electroencephalogram in renal disease. Electroencephalography and Clinical Neurophysiology 39, 377–388 (1975)

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