Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals
[Display omitted] •Novel entropy-driven deep learning detects epilepsy with 94% accuracy from EEG signals.•Multivariate entropy features capture complex brain activity for robust seizure detection.•UMAP enhances feature discrimination for better epilepsy classification.•ResNet and Bi-LSTM model capt...
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| Published in: | Neuroscience Vol. 577; pp. 12 - 24 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Inc
21.06.2025
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| Subjects: | |
| ISSN: | 0306-4522, 1873-7544, 1873-7544 |
| Online Access: | Get full text |
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