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

页码：783 / 791

页数：9

共 50 条

[21] Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism
Yin, Changchang
Cheng, Xuezhen
Liu, Xilu
Zhao, Meng
COMPLEXITY, 2020, 2020
[22] A Hybrid Sequence -to -Sequence Using Attention Mechanism and Convolutional Neural Network for Multistep Electricity Load Forecasting
Sun, Shuo
Wang, Xinli
Yin, Xiaohong
Wang, Lei
Cheng, Xuexiao
Li, Yafeng
2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024, 2024,
[23] A Novel Automatic Modulation Classification Method Using Attention Mechanism and Hybrid Parallel Neural Network
Zhang, Rui
Yin, Zhendong
Wu, Zhilu
Zhou, Siyang
APPLIED SCIENCES-BASEL, 2021, 11 (03): : 1 - 19
[24] A Hybrid Convolutional Neural Network for Plankton Classification
Dai, Jialun
Yu, Zhibin
Zheng, Haiyong
Zheng, Bing
Wang, Nan
COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III, 2017, 10118 : 102 - 114
[25] Motor Imagery EEG Signal Classification Using Optimized Convolutional Neural Network
Thiyam, Deepa Beeta
Raymond, Shelishiyah
Avasarala, Padmanabha Sarma
PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (08): : 273 - 279
[26] Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network
Majoros, Tamas
Oniga, Stefan
IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES, 2021, : 25 - 29
[27] LWheatNet: a lightweight convolutional neural network with mixed attention mechanism for wheat seed classification
Guo, Xiaojuan
Wang, Jianping
Gao, Guohong
Cheng, Zihao
Qiao, Zongjie
Zhang, Ranran
Ma, Zhanpeng
Wang, Xing
FRONTIERS IN PLANT SCIENCE, 2025, 15
[28] Banana Plant Disease Classification Using Hybrid Convolutional Neural Network
Narayanan, K. Lakshmi
Krishnan, R. Santhana
Robinson, Y. Harold
Julie, E. Golden
Vimal, S.
Saravanan, V.
Kaliappan, M.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
[29] EEG emotion recognition using attention-based convolutional transformer neural network
Gong, Linlin
Li, Mingyang
Zhang, Tao
Chen, Wanzhong
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 84
[30] A hybrid deep neural network for classification of schizophrenia using EEG Data
Sun, Jie
Cao, Rui
Zhou, Mengni
Hussain, Waqar
Wang, Bin
Xue, Jiayue
Xiang, Jie
SCIENTIFIC REPORTS, 2021, 11 (01)

← 1 2 3 4 5 →