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- W2982574792 abstract "Epilepsy is a widely spread neurological disorder, caused due to the abnormal electrical activity in the brain. There is a significant change in the functioning and the dynamics of the brain due to this disorder. In this work, we have investigated the dynamics by analyzing the dimension changes observed with respect to four classes namely; normal-eye open, normal-eye close, epilepsy-without seizure and epilepsy-with seizure. Correlation dimension and fuzzy based correlation dimension of the signal is determined to analyze the dynamical changes in the four classes. Finally, the signals were classified using support vector machine (SVM) and 4-nearest neighborhood (4-NN) with a classification accuracy of 94.5% and 93.5% respectively." @default.
- W2982574792 created "2019-11-08" @default.
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- W2982574792 date "2019-03-01" @default.
- W2982574792 modified "2023-09-24" @default.
- W2982574792 title "Correlation dimension to determine changes in subbands of epileptic signals" @default.
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- W2982574792 doi "https://doi.org/10.1109/lifetech.2019.8884071" @default.
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