A novel similarity-constrained feature selection method for epilepsy detection via EEG signals
Abstract Epilepsy constitutes a persistent neurological disorder characterized by recurrent paroxysmal neuronal hyperactivity. The automatic recognition of epilepsy by electroencephalography (EEG) holds significant value for epilepsy treatment and medical diagnosis. Current methods for epilepsy EEG...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00152-w |
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