Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram
Abstract Electroencephalogram (EEG) signal is mostly utilised to monitor epilepsy to revitalize the close loop brain. Several classical methods devised to identify seizures rely on visual analysis of EEG signals which is a costly and complex task if channel count increases. A novel method, namely, a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
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| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12019 |