Development Of Neuro Epilepsy Recognition System Using Artificial Neural Network (ANN)

M.Saleh, Nurul Amalia (2019) Development Of Neuro Epilepsy Recognition System Using Artificial Neural Network (ANN). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Currently, about 65 million of people around the world have epilepsy. Epilepsy is neurological disease that affects people of all ages and the cause of this disease is because of abnormal activity in the brain. This disease has been characterized by the uncontrollable movement and loss of consciousness and convulsions that can lead to serious injuries. As the result, this study has developed a neuro epilepsy recognition system using artificial neural network (ANN). Artificial Neural Network (ANN) are used in machine learning as one of the main tools and it is brain-inspired systems which are meant to replicate the way human being think. This study uses pattern recognition network which is it is one of feedforward neural network techniques and proposes epilepsy recognition method that will be implemented using MATLAB software. In addition, this study also used electroencephalogram (EEG) signal in order to diagnosis and accessing brain activity and disorder by using the dataset from University of Bonn which is widely used in the most of research regarding to epilepsy. EEG signal are also can be obtained by using NeuroSky MindLink EEG sensor. This sensor is used to acquire external data EEG signal to test in neural network. As a result, this system was successful implemented with 75.8% for overall accuracy with training, validation and testing respectively get 76.3%, 70.7% and 78.7%.

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