Upadhyaya, Prajna and Bairy, Muralidhar G and Yagi, Tohru (2019) Computerized Analysis of EEG to Determine Focal Epilepsy. IEEJ Transactions on Electronics, Information and Systems, 139 (5). pp. 609-614. ISSN 0385-4221
![]() |
PDF
6769.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy |
Abstract
Epilepsy is a neurological disorder that occurs due to the abnormal electrical discharges in the brain, thus affecting the patient’s personality, behavior and day-to-day routine. Epilepsy can be broadly classified into generalized epilepsy and focal epilepsy. Focal epilepsy occurs due to abnormal electrical discharges in the smaller section of the brain. These electrical discharges later spread to the larger part of the brain, resulting in generalized epilepsy. In this paper, a computer-aided diagnostic system is proposed to detect the focal epilepsy using electroencephalogram (EEG) signals. Features from the decomposed signals are extracted using fuzzy approximation entropy, Higuchi’s fractal dimension and correlation dimension. Classification accuracy of 87.68% and 84.45% was obtained using K nearest neighbor (KNN) and support vector machine (SVM) classifiers respectively.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | focal epilepsy, EEG, Computer Aided Diagnostic (CAD) system |
Subjects: | Engineering > MIT Manipal > Biomedical |
Depositing User: | MIT Library |
Date Deposited: | 05 Jul 2019 10:24 |
Last Modified: | 05 Jul 2019 10:24 |
URI: | http://eprints.manipal.edu/id/eprint/154132 |
Actions (login required)
![]() |
View Item |