EEG Classification Using Hybrid Convolutional Neural Network with Attention Mechanism

被引：0
作者：
Ciurea, Alexe [1 ]
Manoila, Cristina-Petruta [2 ]
Ionescu, Bogdan [1 ]
机构：
[1] Univ Politehn Bucuresti, Bucharest, Romania
[2] Cris Engn Ltd, Bishops Itchington, England
来源：
ADVANCES IN DIGITAL HEALTH AND MEDICAL BIOENGINEERING, VOL 1, EHB-2023 | 2024年 / 109卷
关键词：
EEG; Deep Learning; CNN; Attention Mechanism;
D O I：
10.1007/978-3-031-62502-2_88
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We introduce a hybrid convolutional neural network that integrates 1D and 2D convolutional layers with an attention mechanism for EEG signal classification. Evaluating on two different datasets, our method shows promising results compared to state-of-art over varying clip lengths, emphasizing the architecture's efficacy in capturing temporal and spatial EEG characteristics.
引用
收藏
页码：783 / 791
页数：9
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