Why the study?
Most existing epileptic seizure detection methods rely on traditional features and decomposing techniques, leaving research deficiencies across signal processing phases.
Population
Publicly available EEG data from the University of Bonn
Comparison
Proposed EEG-based epileptic seizure detection technique with mobile application vs existing methods
Authors
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Highlights gaps across EEG seizure detection phases; leaves open standardized, validated solutions for clinical use.
The proposed EEG-based machine learning technique and mobile application achieved 98% accuracy in detecting epileptic seizures, offering a potential tool for epilepsy monitoring.
Lasefr et al. (2023) studied this question.
Synapse has enriched one closely related paper. Consider it for comparative context: