TAILIEUCHUNG - Paraconsistent neurocomputing and brain signal analysis

In this work we summarize some of our studies on paraconsistent artificial neural networks (PANN) applied to electroencephalography. We give attention to the following applications: probable diagnosis of Alzheimer disease and attention-deficit /hyperactivity disorder (ADHD). PANNs are well suited to tackle problems that human beings are good at solving, like prediction and pattern recognition. | Vietnam J Comput Sci 2014 1 219-230 DOI s40595-014-0022-9 POSITION PAPER Paraconsistent neurocomputing and brain signal analysis Jair Minoro Abe Helder F. S. Lopes Kazumi Nakamatsu Received 24 November 2013 Accepted 4 May 2014 Published online 8 July 2014 The Author s 2014. This article is published with open access at Abstract In this work we summarize some of our studies on paraconsistent artificial neural networks PANN applied to electroencephalography. We give attention to the following applications probable diagnosis of Alzheimer disease and attention-deficit hyperactivity disorder ADHD . PANNs are well suited to tackle problems that human beings are good at solving like prediction and pattern recognition. PANNs have been applied within several branches and among them the medical domain for clinical diagnosis image analysis and interpretation signal analysis and interpretation and drug development. For study of ADHD we have a result of recognition electroencephalogram standards delta theta alpha and beta waves with a median kappa index of 80 . For study of the Alzheimer disease we have a result of clinical diagnosis possible with 80 of sensitivity 73 of specificity and a kappa index of 76 . Keywords Artificial neural network Paraconsistent logics EEG analysis Pattern recognition Alzheimer disease Dyslexia J. M. Abe Graduate Program in Production Engineering ICET-Paulista University R. Dr. Bacelar 1212 São Paulo SP CEP 04o26-002 Brazil J. M. Abe B H. F. S. Lopes Institute For Advanced Studies University of São Paulo São Paulo Brazil e-mail jairabe@ H. F. S. Lopes e-mail K. Nakamatsu School of Human Science and Environment . University of Hyogo Kobe Japan e-mail nakamatu@ 1 Introduction Generally speaking artificial neural network ANN can be described as a computational system consisting of a set of highly interconnected processing elements called artificial neurons which process .

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