Classification of Seizure Termination Patterns using Deep Learning on intracranial EEG
Author:
Affiliation:
1. University of Cincinnati,Department of Me-chanical Engineering,Cincinnati,Ohio,USA
2. University of Cincinnati,Department of Neurosurgery,Cincinnati,Ohio,USA
3. Massachusetts General Hospital,Department of Neu-rology,Boston,Massachusetts,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871579.pdf?arnumber=9871579
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4. Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy;proix;Nature Communications,2018
5. Study on cnn in the recognition of emotion in audio and images;zhang;2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS),0
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