Classification and detection of epileptic seizure disease in eeg signals using artificial neural network based ica functions

Abstract

The rate of neurological and psychiatric disorders is increasing rapidly in our day to day life due to mental burden, neurological and behavioural disorders. Among the various neurological brain disorders, Epilepsy is a constant, persistent brain disorder which is characterized by abnormal electrical activity in the brain. The presence of recurrent seizures in the brain indicates the Epilepsy. Thus it does not mean that the occurrence of single seizure results in Epilepsy. The continuous occurrence of two or more seizures leads to Epilepsy. Thus the presence of seizures in the brain or the Epilepsy condition can cause unexpected muscular movements and variations in the mental state. This is the symptoms of an epileptic seizure and it may leads from short term loss to uncontrolled movements. It also results in unconsciousness state. The seizures are caused due to discharge of huge electrical energy from the brain cells. This can take place in all over parts of the brain. The period of these seizures may be short or prolonged disturbances and it cannot be defined. The seizure can be categorisedinto (i) Focal seizure otherwise known as partial seizures and (ii) Generalized seizures. newline newline newline