Computerized analysis of EEG to determine focal epilepsy

Prajna Upadhyaya, G. Muralidhar Bairy, Tohru Yagi

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)609-614
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume139
Issue number5
DOIs
Publication statusPublished - 01-01-2019

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Electroencephalography
Brain
Fractal dimension
Support vector machines
Classifiers
Entropy

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Computerized analysis of EEG to determine focal epilepsy. / Upadhyaya, Prajna; Muralidhar Bairy, G.; Yagi, Tohru.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 139, No. 5, 01.01.2019, p. 609-614.

Research output: Contribution to journalArticle

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