Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Seizure prediction might be the solution to tackle the apparent unpredictability of seizures in patients with drug-resistant epilepsy, which comprise about a third of all patients with epilepsy. Designing seizure prediction models involves defining the pre-ictal period, a transition stage between in...
| Main Author: | |
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| Other Authors: | , , , , , |
| Format: | article |
| Language: | eng |
| Published: |
2022
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| Online Access: | http://hdl.handle.net/10316/103491 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/103491 |