A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction

Topics

Seizure detection · Seizure prediction · Feature extraction · CNN-GRU-AM model · Convolutional neural network · Gated recurrent unit · Attention mechanism · Discrete Wavelet Transform · EEG signal analysis · Time-frequency feature extraction · Nonlinear features · EEG signal analysis · CHB-MIT dataset · 10-fold cross-validation · Hybrid deep learning model · Sensitivity and specificity evaluation · Area under the receiver operating characteristic curve (AUC) · Feature extraction · Seizure prediction · Patient monitoring system

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Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026. Accessed 2026-07-13.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459