Cargando…

Regularized RKHS-Based Subspace Learning for Motor Imagery Classification

Brain–computer interface (BCI) technology allows people with disabilities to communicate with the physical environment. One of the most promising signals is the non-invasive electroencephalogram (EEG) signal. However, due to the non-stationary nature of EEGs, a subject’s signal may change over time,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jiang, Linzhi, Liu, Shuyu, Ma, Zhengming, Lei, Wenjie, Chen, Cheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870989/ https://www.ncbi.nlm.nih.gov/pubmed/35205490 http://dx.doi.org/10.3390/e24020195

Ejemplares similares

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification
por: She, Qingshan, et al.
Publicado: (2016)

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
por: Rashid, Mamunur, et al.
Publicado: (2021)

Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
por: Zhao, Yuwei, et al.
Publicado: (2018)

Gaussian Processes and Polynomial Chaos Expansion for Regression Problem: Linkage via the RKHS and Comparison via the KL Divergence
por: Yan, Liang, et al.
Publicado: (2018)

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification
por: She, Qingshan, et al.
Publicado: (2018)

Reduce Calibration Time in Motor Imagery Using Spatially Regularized Symmetric Positives-Definite Matrices Based Classification
por: Singh, Amardeep, et al.
Publicado: (2019)

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
por: Chen, Xing, et al.
Publicado: (2017)

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

Extended Averaged Learning Subspace Method for Hyperspectral Data Classification
por: Bagan, Hasi, et al.
Publicado: (2009)

Regularized Multi-View Subspace Clustering for Common Modules Across Cancer Stages
por: Zhang, Enli, et al.
Publicado: (2018)

Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata
por: Liu, Aiming, et al.
Publicado: (2017)

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

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

A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation
por: Sanodiya, Rakesh Kumar, et al.
Publicado: (2020)

Transferred Subspace Learning Based on Non-negative Matrix Factorization for EEG Signal Classification
por: Dong, Aimei, et al.
Publicado: (2021)

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

Subspace Identification and Classification of Healthy Human Gait
por: von Tscharner, Vinzenz, et al.
Publicado: (2013)

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
por: León, Javier, et al.
Publicado: (2020)

A Generalizable and Discriminative Learning Method for Deep EEG-Based Motor Imagery Classification
por: Huang, Xiuyu, et al.
Publicado: (2021)

The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Subasi, Abdulhamit, et al.
Publicado: (2021)

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

Distribution Adaptation and Classification Framework Based on Multiple Kernel Learning for Motor Imagery BCI Illiteracy
por: Tao, Lin, et al.
Publicado: (2022)

Electroencephalography-Based Brain–Computer Interface Motor Imagery Classification
por: Mohammadi, Ehsan, et al.
Publicado: (2021)

MCGNet(+): an improved motor imagery classification based on cosine similarity
por: Li, Yan, et al.
Publicado: (2022)

Motor Imagery Classification via Kernel-Based Domain Adaptation on an SPD Manifold
por: Jiang, Qin, et al.
Publicado: (2022)

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework
por: Dai, Mengxi, et al.
Publicado: (2019)

Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods
por: Majidov, Ikhtiyor, et al.
Publicado: (2019)

Subspace-by-subspace preconditioners for structured linear systems
por: Daydé, M J, et al.
Publicado: (1998)

Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace
por: Mi, Jian-Xun, et al.
Publicado: (2013)

Multitask learning over shared subspaces
por: Menghi, Nicholas, et al.
Publicado: (2021)

An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering
por: Xiong, Liyan, et al.
Publicado: (2019)

Comparing Features for Classification of MEG Responses to Motor Imagery
por: Halme, Hanna-Leena, et al.
Publicado: (2016)

Motor Imagery EEG Classification Using Capsule Networks†
por: Ha, Kwon-Woo, et al.
Publicado: (2019)

Classification of Motor Imagery Electroencephalography Signals Based on Image Processing Method
por: Chen, Zhongye, et al.
Publicado: (2021)

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

Motor Imagery Classification Based on EEG Sensing with Visual and Vibrotactile Guidance
por: Batistić, Luka, et al.
Publicado: (2023)

Local and global convolutional transformer-based motor imagery EEG classification
por: Zhang, Jiayang, 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)

An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface
por: Wang, Xuying, et al.
Publicado: (2022)

Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery
por: de Brito Guerra, Tarciana C., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_6nvffvsunupc5g230pb9pq8s4g