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Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG. (arXiv:2204.07034v1 [eess.SP])
April 15, 2022, 1:11 a.m. | Tiago Leal, Fabio Lopes, Cesar Teixeira, Antonio Dourado
cs.LG updates on arXiv.org arxiv.org
Refractory epileptic patients can suffer a seizure at any moment. Seizure
prediction would substantially improve their lives. In this work, based on
scalp EEG and its transformation into images, the likelihood of an epileptic
seizure occurring at any moment is computed using an average of the softmax
layer output (the likelihood) of a CNN, instead of the output of the
classification layer. Results show that by analyzing the likelihood and
thresholding it, prediction has higher sensitivity or a lower FPR/h. …
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