Epileptic seizure detection on EEG signal using statistical signal processing and neural networks
Pages 98 - 102
Abstract
Epilepsy is a common chronic neurological disorder that is depicted by frequent unproved seizures. Epilepsy acutely affects the customary activities of a human being. The divination of epileptic seizures assures a novel diagnostic application and a new approach for seizure control. Conventionally epilepsy is diagnosed using any one of the following technologies namely, Electroencephalogram (EEG), Magnetic resonance imaging (MRI), Positron emission tomography (PET) etc... The prime focus of this paper is on the discerning of epileptic seizure from the data that exists in the EEG signals. The seizure is identified with the aid of Statistical Signal Processing Technique, ICA and the ascertained signals are trained employing Artificial Neural Networks technique namely Back propagation algorithm. The proposed work hauled out a number of features from EEG segments and consequently these features were used to categorize the segments relating to the epileptic seizures.
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- Epileptic seizure detection on EEG signal using statistical signal processing and neural networks
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Published In
November 2008
107 pages
ISBN:9789604740215
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Stevens Point, Wisconsin, United States
Publication History
Published: 07 November 2008
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