EEG Recognition of Epilepsy Based on Spiking Recurrent Neural Network
Author:
Affiliation:
1. School of Information Engineering, Guangdong University of Technology, China
2. Research Institute of IC Innovation, Guangdong University of Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3665689.3665710
Reference18 articles.
1. R. Appleton and A. Marson 2009: Epilepsy: the facts, third edition. Oxford, UK: Oxford University Press. 186 pp, £9.99 paperback. ISBN: 9780199233687
2. Automated EEG analysis of epilepsy: A review
3. N. Arunkumar , V. S. Balaji , S. Ramesh, Automatic detection of epileptic seizures using Independent Component Analysis Algorithm[C]. IEEE-International Conference on Advances In Engineering, Science And Management (ICAESM -2012), 2012:542-544.
4. Automatic Epileptic Seizure Detection via Attention-Based CNN-BiRNN
5. Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks
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