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Electroencephalogram (EEG) is the most important clinical tool in evaluating patients with epilepsy. However, the EEG definite patterns correlated to various types of epilepsy are still unclear. In this paper, six features of EEG signal are extracted to construct an artificial neural network model of classifying controls and patients with epilepsy. The ROC-score (area under curve) of the model is...
In patients suffering from focal epilepsy, the region of seizure onset is characterized by hyperperfusion during the seizure (ictal state), and hypoperfusion in normal (inter-ictal) state. For diagnosis and surgery planning in epilepsy patients, ictal and inter-ictal SPECT images play a major role. However, comparison of this kind of data is a difficult clinical problem due to varying physiological...
Epilepsy is a common chronic neurological disorder that is characterized by recurrent unprovoked seizures. About 50 million people worldwide have epilepsy at any one time. This paper presents an Intelligent Diagnostic System for Epilepsy using Artificial Neural Networks (ANNs) and Neuro-Fuzzy technique. In this approach the feed-forward neural network has been trained using Back propagation algorithm...
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