Performance Evaluation of Different Neural Networks Used for Seizure Detection
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2011 by IJCOT Journal | ||
| Volume-1 Issue-3 |
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| Year of Publication : 2011 | ||
| Authors : Miss Ashwini D. Bhople, Prof. P. A. Tijare |
Citation
Miss Ashwini D. Bhople, Prof. P. A. Tijare. "Performance Evaluation of Different Neural Networks Used for Seizure Detection". International Journal of Computer & organization Trends (IJCOT), V1(3):35-39 Nov - Dec 2011, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Brain is one of the most important and complicated organs of humans. It is also susceptible to degenerative disorder, such as epilepsy. A disease caused due to temporary alternation in brain function due to abnormal electrical activity of a gro up of brain cells and is termed as epileptic seizure. It is a common chronic ne urological disorder characterized by seizures . In epilepsy, the normal pattern of neuronal activity becomes disturbed, causing strange sensations, emotions, and behavior or sometimes convuls ions, muscle spasms, and loss of consciousness. The term ‘Epilepsy’ is derived from the Greek word epilambanein or epilepsía which means ‘to seize or attack’. Anything that disturbs the normal pattern of brain cells (neuron) activity from illness to brain damage to abnormal brain development can lead to seizures. Epilepsy may develop because of an abnormality in brain wiring, an imbalance of nerve signaling chemicals called neurotransmitters, or some combination of these factors. Having a seizure does not n ecessarily mean that a person has epilepsy. Only when a person has two or more seizures is he or she considered to have epilepsy. The seizure occurs at random to impair the normal function of the brain. Seizures can be classified into two main categories d epending on the extent of involvement of various brain regions focal (or partial) and generalized. Generalized seizures involve from a circumscribed region of the brain, often called epileptic foci. EEGs and brain scans are most common and cost effective d iagnostic test for epilepsy. Worldwide, epilepsy affects 50 million people. In this paper different neural networks are studied and compared, for the detection of seizure
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Keywords
Support Vector machine (SVM), Elman network (EN) , probabilistic Neural Ne twork (PNN), Generalized Feed Forward (GFFNN), Back Propagation Neural Network (BPNN) and Multilayer perceptron (MLP)