Automated Seizure Detection using Transformer Models on Multi-Channel EEGs

Author:

Zhu Yuanda1,Wang May D.2

Affiliation:

1. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,GA,USA

2. Georgia Institute of Technology and Emory University,Dept. of Biomedical Engineering,Atlanta,GA,USA

Publisher

IEEE

Reference43 articles.

1. Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks

2. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers),2019

3. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

4. EEG seizure detection and prediction algorithms: a survey

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