ANN based Epilepsy detection using EEG
نویسندگان
چکیده
ABSTRACT Brain is the most complex organ amongst all the systems in human body. ElectroEncephaloGraph EEG is a technique which is used to identify the neurological disorder of brain. Epilepsy is one of the most common neurological disorders of brain. Epilepsy needs to be detected efficiently using required EEG feature extraction such as: variance, power spectral density, energy and entropy. This paper proposes classification system for epilepsy based on neural network. Classification is done for normal and epileptic subjects. Normal subjects are further classified for eyes open and eyes closed. In classification of normal and epileptic, results obtained exhibited an accuracy of 99.2% and for eyes open and eyes closed an accuracy of 100% is obtained.
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