https://www.selleckchem.com/products/c1632.html
Differential patterns revealed in this study may help to shed light on underlying altered cognitive abilities in epilepsy patients. The accuracy achieved in this study shows that, in combination with other methods, this approach could prove a valuable clinical decision support system for epilepsy diagnosis. 1 EEG measurements and subsequent connectivity calculation, 2 training of a neural network on resulting connectivity matrices, 3 extraction of most efficient CNN filters, which are neuromarker for epilepsy. To develop machine learning
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