Automatic diagnosis of epileptic seizures using entropy-based features and multimodel deep learning approaches
Epilepsy is one of the most common brain diseases, characterised by repeated seizures that occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a loss of mobility and balance, which can be harmful or even fatal. Developing an automatic approach for warnin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113638/1/113638.pdf http://psasir.upm.edu.my/id/eprint/113638/ https://www.sciencedirect.com/science/article/pii/S1350453324001073?via%3Dihub |
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