WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG

High-performance automated detection methods for epilepsy play a crucial role in clinical diagnostic support. To address the challenge of effectively extracting features from epileptic EEG signals, characterized by strong spontaneity and complexity, a novel feature extraction approach based on Windo...

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Autors principals:	Haoyang Cai, Ying Yan, Guanting Liu, Jun Cai, Adrian David Cheok, Na Liu, Chengcheng Hua, Jing Lian, Zhiyong Fan, Anqi Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Epilepsy electroencephalogram discrete wavelet transform Kullback-Leibler divergence residual multidimensional Taylor network (ResMTN)
Accés en línia:	https://ieeexplore.ieee.org/document/10530905/
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