Pretrained Transformers for Seizure Detection
Author:
Affiliation:
1. UCLA, Computational Diagnostics Group
2. UCLA, Department of Bioengineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095660.pdf?arnumber=10095660
Reference12 articles.
1. The Temple University Hospital Seizure Detection Corpus
2. Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels;vandecasteele;Epilepsia,2020
3. Chrononet: A deep recurrent neural network for abnormal eeg identification;roy;Artificial Intelligence in Medicine 17th Conference on Artificial Intelligence in Medicine AIME 2019,2019
4. A review of epileptic seizure detection using machine learning classifiers
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