Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability
Epileptic seizures are neurological events caused by abnormal electrical activity in the brain, frequently resulting in loss of consciousness, involuntary movements, or cognitive deficits. Electroencephalograms (EEGs) are essential for diagnosing epilepsy, but conventional detection techniques depen...
Saved in:
| Main Authors: | Tawfeeq Shawly, Ahmed A. Alsheikhy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Egyptian Informatics Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866525001276 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Epileptic seizure: always trouble or sometimes deliverance?
by: V. A. Karlov
Published: (2020-07-01) -
Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm
by: Mosleh Hmoud Al-Adhaileh, et al.
Published: (2025-05-01) -
Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier
by: Hany F. Atlam, et al.
Published: (2025-04-01) -
PARTICULARS OF CLINICAL POLYMORPHISM OF ACUTE EPILEPTIC SEIZURES. CLINICAL TELEMETRIC VIDEO-EEG EXAMINATION
by: S. A. Groppa, et al.
Published: (2016-08-01) -
Effect of the compound GIZH -290 and levetiracetam on epileptic activity in rat brain structures on EEG models of bemegrid-induced seizures
by: T. A. Voronina, et al.
Published: (2021-06-01)