Inter-intra feature for the complementary convolutional neural network in the effective classification of epileptic seizures

The electrical activity of the brain can be monitored using the electroencephalogram (EEG), which can be used in the detection of seizures. This paper proposes an epileptic seizure detection algorithm that uses inter-intra Head-body-tail (HBT) features. Initially, the EEG signals are subdivided into...

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Vydané v:	Multimedia tools and applications Ročník 83; číslo 35; s. 82699 - 82718
Hlavní autori:	Bell, T. Beula, Latha, D., Sheela, C. Jaspin Jeba
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2024 Springer Nature B.V
Predmet:	Accuracy Algorithms Artificial neural networks Computer Communication Networks Computer Science Convulsions & seizures Data Structures and Information Theory Datasets Electroencephalography Epilepsy Feature extraction Multimedia Information Systems Neural networks Seizures Sensitivity analysis Special Purpose and Application-Based Systems Epileptic seizures EEG signal Convolutional kernel Convolutional neural network Accumulation layer
ISSN:	1573-7721, 1380-7501, 1573-7721
On-line prístup:	Získať plný text
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