2022
DOI: 10.1109/ojim.2022.3202555
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Discrimination of Types of Seizure Using Brain Rhythms Based on Markov Transition Field and Deep Learning

Abstract: Discrimination of types of seizure using the Electroencephalogram (EEG) signal has always been a challenging task due to minuscule differences among different types of seizures. In this regard, deep learning (DL) which has already evidenced notable performance in image recognition could be suitable. However, a few attempts have been made so far in this regard mainly by constructing 2D input images for DL from 1D EEG signals directly using various techniques. Besides, the quality of the generated images has not… Show more

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Cited by 3 publications
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References 27 publications
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