Article

Deep Learning-Based EEG Seizure Classification Using Comparative Time–Frequency Spectral Representations

2026-05-04

Abstract excerpt

<title>Abstract</title> <p>The automated prediction and classification of seizures using electroencephalography (EEG) remains a challenging task due to the inherent complexity and significant inter-subject variability observed in seizure patterns. To address these challenges, we explored the use of two-dimensional time-frequency representations of EEG signals to enhance the effectiveness of seizure type classific...

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Literature Corpus work: 2b9d9f33-cd49-5089-bfcc-7dc2e1a5d590
DOI: 10.21203/rs.3.rs-9156412/v1

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