Feature Extraction and Classification of Epilepsy in Different Seizure Types: A Survey
Asma Shaheen, Syed Muhammad Anwar and Muhammad Sharif
Affiliation: Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan.
Epilepsy is known as a neurological disorder caused by disturbance in electrical brain signals. Almost one percent
population in the world experience epileptic seizures from which 30% people need medical surgery and others are
cured by antiepileptic drugs. Epilepsy is divided into generalized and partial epilepsy. Diagnosis of epilepsy is a major
problem; several Image processing and signal processing techniques has been used for this purpose. In order to automatically
detect epilepsy much work is found in existing literature such as absence seizure, myoclonic, tonic clonic, frontal
and temporal lobe epilepsy. This paper presents different seizure types feature extraction and classification of epilepsy.
Furthermore, the paper discussed the experiments and databases used by assessment of authors to detect the seizures. This
work will be helpful for epilepsy researchers and technical persons who want to utilize the ongoing research in this area.
Keywords: Epilepsy, frontal lobe, myoclonic seizure, neurological disorder, tonic clonic seizure, temporal lobe.
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