A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding

A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding

With the development of technology and the rise of the meta-universe concept, the brain-computer interface (BCI) has become a hotspot in the research field, and the BCI based on motor imagery (MI) EEG has been widely concerned. However, in the process of MI-EEG decoding, the performance of the decod...

Full description

Bibliographic Details
Main Authors:	Jun Yang, Siheng Gao, Tao Shen
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Series:	Entropy
Subjects:	electroencephalography (EEG) motor imagery (MI) temporal and frequency features convolutional neural network (CNN)
Online Access:	https://www.mdpi.com/1099-4300/24/3/376

Similar Items

A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding
by: Hongyi Zhi, et al.
Published: (2023-01-01)

Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain–Computer Interfaces by Using Multi-Branch CNN
by: Radia Rayan Chowdhury, et al.
Published: (2023-09-01)

A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding
by: Tianjun Liu, et al.
Published: (2021-02-01)

EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification
by: Wei-Yen Hsu, et al.
Published: (2023-01-01)

Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions
by: Konstantinos Barmpas, et al.
Published: (2023-01-01)

Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification
by: Karel Roots, et al.
Published: (2020-09-01)

A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding
by: Siheng Gao, et al.
Published: (2022-09-01)

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
by: Natasha Padfield, et al.
Published: (2019-03-01)

A Simplified CNN Classification Method for MI-EEG via the Electrode Pairs Signals
by: Xiangmin Lun, et al.
Published: (2020-09-01)

A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification
by: Xiangmin Lun, et al.
Published: (2023-11-01)

Time-Distributed Attention Network for EEG-Based Motor Imagery Decoding From the Same Limb
by: Xuelin Ma, et al.
Published: (2022-01-01)

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
by: Yu Xie, et al.
Published: (2023-02-01)

Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding
by: Xingliang Tang, et al.
Published: (2020-01-01)

EEG sensorimotor rhythms’ variation and functional connectivity measures during motor imagery: linear relations and classification approaches
by: Carlos A. Stefano Filho, et al.
Published: (2017-11-01)

Deep Convolutional Neural Network for EEG-Based Motor Decoding
by: Jing Zhang, et al.
Published: (2022-09-01)

A Motor Imagery Signals Classification Method via the Difference of EEG Signals Between Left and Right Hemispheric Electrodes
by: Xiangmin Lun, et al.
Published: (2022-05-01)

Decoding Algorithm of Motor Imagery Electroencephalogram Signal Based on CLRNet Network Model
by: Chaozhu Zhang, et al.
Published: (2023-09-01)

Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet
by: Javier V. Juan, et al.
Published: (2024-02-01)

Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals
by: Sung-Jin Kim, et al.
Published: (2022-01-01)

A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification
by: Ghadir Ali Altuwaijri, et al.
Published: (2022-01-01)

EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding
by: Guangjin Liang, et al.
Published: (2024-01-01)

A Cross-Space CNN With Customized Characteristics for Motor Imagery EEG Classification
by: Ying Hu, et al.
Published: (2023-01-01)

Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency
by: Donghyun Park, et al.
Published: (2023-01-01)

A Temporal Dependency Learning CNN With Attention Mechanism for MI-EEG Decoding
by: Xinzhi Ma, et al.
Published: (2023-01-01)

Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets
by: Zaid Shuqfa, et al.
Published: (2023-05-01)

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review
by: Arrigo Palumbo, et al.
Published: (2021-09-01)

Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
by: Xiuling Liu, et al.
Published: (2020-12-01)

Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
by: Neha Sharma, et al.
Published: (2023-01-01)

Data augmentation strategies for EEG-based motor imagery decoding
by: Olawunmi George, et al.
Published: (2022-08-01)

Motor imagery ability scores are related to cortical activation during gait imagery
by: Martina Putzolu, et al.
Published: (2024-03-01)

Recognition of Motor Imagery EEG Signals Based on Capsule Network
by: Xiuli Du, et al.
Published: (2023-01-01)

Improving Generalization Based on l1-Norm Regularization for EEG-Based Motor Imagery Classification
by: Yuwei Zhao, et al.
Published: (2018-05-01)

Increasing accessibility to a large brain–computer interface dataset: Curation of physionet EEG motor movement/imagery dataset for decoding and classification
by: Zaid Shuqfa, et al.
Published: (2024-06-01)

Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal
by: Md. Khademul Islam Molla, et al.
Published: (2020-01-01)

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification
by: Jin Xie, et al.
Published: (2022-01-01)

Analysis of the Relationship Between Motor Imagery and Age-Related Fatigue for CNN Classification of the EEG Data
by: Xiangyun Li, et al.
Published: (2022-07-01)

Parallel spatial-temporal self-attention CNN-based motor imagery classification for BCI
by: Liu, Xiuling, et al.
Published: (2021)

An improved model using convolutional sliding window-attention network for motor imagery EEG classification
by: Yuxuan Huang, et al.
Published: (2023-08-01)

User Biometric Identification Methodology via EEG-Based Motor Imagery Signals
by: Sujin Bak, et al.
Published: (2023-01-01)

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach
by: Jamal F. Hwaidi, et al.
Published: (2022-01-01)