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Current Medical Imaging Reviews
ISSN (Print): 1573-4056
ISSN (Online): 1875-6603
VOLUME: 10
ISSUE: 2
DOI: 10.2174/157340561002140715100152      Price:  $58









Feature Extraction and Classification of Epilepsy in Different Seizure Types: A Survey

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Author(s): Asma Shaheen, Syed Muhammad Anwar and Muhammad Sharif
Pages 77-83 (7)
Abstract:
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.
Affiliation:
Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan.