Cargando…

Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks

In the process of brain-computer interface (BCI), variations across sessions/subjects result in differences in the properties of potential of the brain. This issue may lead to variations in feature distribution of electroencephalogram (EEG) across subjects, which greatly reduces the generalization a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Kai, Xu, Guanghua, Chen, Longtin, Tian, Peiyuan, Han, ChengCheng, Zhang, Sicong, Duan, Nan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474754/ https://www.ncbi.nlm.nih.gov/pubmed/32908576 http://dx.doi.org/10.1155/2020/1683013

Ejemplares similares

Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network
por: Zhang, Kai, et al.
Publicado: (2020)

Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer
por: Wang, Ximiao, et al.
Publicado: (2023)

Temporal-frequency-phase feature classification using 3D-convolutional neural networks for motor imagery and movement
por: Fan, Chengcheng, et al.
Publicado: (2023)

Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network
por: Chang, Zhanyuan, et al.
Publicado: (2022)

Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery Classification
por: Collazos-Huertas, Diego, et al.
Publicado: (2020)

Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface
por: Hossain, Ibrahim, et al.
Publicado: (2018)

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

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
por: Xie, Yu, et al.
Publicado: (2023)

Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network
por: Miao, Minmin, et al.
Publicado: (2020)

Local and global convolutional transformer-based motor imagery EEG classification
por: Zhang, Jiayang, et al.
Publicado: (2023)

A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
por: Wu, Hao, et al.
Publicado: (2019)

Instance segmentation convolutional neural network based on multi-scale attention mechanism
por: Gaihua, Wang, et al.
Publicado: (2022)

Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning
por: Feng, Jin, et al.
Publicado: (2022)

Motor Imagery Classification for Brain Computer Interface Using Deep Convolutional Neural Networks and Mixup Augmentation
Publicado: (2022)

Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks
por: Huang, Jing-Shan, et al.
Publicado: (2021)

Relevant Feature Integration and Extraction for Single-Trial Motor Imagery Classification
por: Li, Lili, et al.
Publicado: (2017)

Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification
por: Kim, Da-Hyun, et al.
Publicado: (2023)

Task Transfer Learning for EEG Classification in Motor Imagery-Based BCI System
por: Zheng, Xuanci, et al.
Publicado: (2020)

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
por: Xiao, Xiongliang, et al.
Publicado: (2021)

Visual and kinesthetic modes affect motor imagery classification in untrained subjects
por: Chholak, Parth, et al.
Publicado: (2019)

A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
por: Altuwaijri, Ghadir Ali, et al.
Publicado: (2022)

Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks
por: Altuwaijri, Ghadir Ali, et al.
Publicado: (2022)

Classification Scheme for Arm Motor Imagery
por: Tavakolan, Mojgan, et al.
Publicado: (2016)

Localized instance fusion of MRI data of Alzheimer’s disease for classification based on instance transfer ensemble learning
por: Tan, Xiaoheng, et al.
Publicado: (2018)

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

Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification
por: Dai, Mengxi, et al.
Publicado: (2018)

A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network
por: Ortiz-Echeverri, César J., et al.
Publicado: (2019)

Input Shape Effect on Classification Performance of Raw EEG Motor Imagery Signals with Convolutional Neural Networks for Use in Brain—Computer Interfaces
por: Arı, Emre, et al.
Publicado: (2023)

Motor Imagery Analysis from Extensive EEG Data Representations Using Convolutional Neural Networks
por: Lomelin-Ibarra, Vicente A., et al.
Publicado: (2022)

Hypermixed Convolutional Neural Network for Retinal Vein Occlusion Classification
por: Zhang, Guanghua, et al.
Publicado: (2022)

Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network
por: Milanés-Hermosilla, Daily, et al.
Publicado: (2023)

Regularized RKHS-Based Subspace Learning for Motor Imagery Classification
por: Jiang, Linzhi, et al.
Publicado: (2022)

Subject-Independent EEG Classification of Motor Imagery Based on Dual-Branch Feature Fusion
por: Dong, Yanqing, et al.
Publicado: (2023)

Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
por: Lee, Hyeon Kyu, et al.
Publicado: (2019)

Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
por: Phunruangsakao, Chatrin, et al.
Publicado: (2022)

Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
por: Luo, Jing, et al.
Publicado: (2023)

Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
por: Li, Li, et al.
Publicado: (2022)

Recognition of single upper limb motor imagery tasks from EEG using multi-branch fusion convolutional neural network
por: Zhang, Rui, et al.
Publicado: (2023)

Multiclass Classification Based on Combined Motor Imageries
por: Lindig-León, Cecilia, et al.
Publicado: (2020)

Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network
por: Luo, Tian-jian, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_nt48nfe725078922e858v1g31f