Classification of Seizure Termination Patterns using Deep Learning on intracranial EEG-Reference-Cited by-同舟云学术

Classification of Seizure Termination Patterns using Deep Learning on intracranial EEG

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Agarwal Shubham¹,Basu Ishita²,Kumar Manish¹,Salami Pariya³,Cash Sydney S³

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

Reference26 articles.

1. Seizure termination by acidosis depends on ASIC1a

2. Human seizures self-terminate across spatial scales via a critical transition;kramer;Proceedings of the National Academy of Sciences,0

3. Termination patterns of complex partial seizures: An intracranial eeg study;afra;Seizure,2015

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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