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...
| Main Authors: | Al-Qazzaz, Noor Kamal, Alrahhal, Maher, Jaafer, Sumai Hamad, Mohd Ali, Sawal Hamid, Ahmad, Siti Anom |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/113638/ http://psasir.upm.edu.my/id/eprint/113638/1/113638.pdf |
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