Cargando…

A Motor Imagery Signals Classification Method via the Difference of EEG Signals Between Left and Right Hemispheric Electrodes

Brain-computer interface (BCI) based on motor imagery (MI) can help patients with limb movement disorders in their normal life. In order to develop an efficient BCI system, it is necessary to decode high-accuracy motion intention by electroencephalogram (EEG) with low signal-to-noise ratio. In this...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lun, Xiangmin, Liu, Jianwei, Zhang, Yifei, Hao, Ziqian, Hou, Yimin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124859/ https://www.ncbi.nlm.nih.gov/pubmed/35615273 http://dx.doi.org/10.3389/fnins.2022.865594

Ejemplares similares

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

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

Motor imagery EEG signal classification with a multivariate time series approach
por: Velasco, I., et al.
Publicado: (2023)

Slowing of Motor Imagery after a Right Hemispheric Stroke
por: Malouin, Francine, et al.
Publicado: (2012)

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
por: Ma, Yuliang, et al.
Publicado: (2016)

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

Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
Publicado: (2019)

Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals
por: Maghsoudi, Arash, et al.
Publicado: (2022)

Mu-Beta event-related (de)synchronization and EEG classification of left-right foot dorsiflexion kinaesthetic motor imagery for BCI
por: Tariq, Madiha, et al.
Publicado: (2020)

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

Cognitive Alterations in Motor Imagery Process after Left Hemispheric Ischemic Stroke
por: Yan, Jing, et al.
Publicado: (2012)

A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm
por: Khan, Rabia Avais, et al.
Publicado: (2023)

Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms
por: Liu, Rensong, et al.
Publicado: (2017)

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
por: Kumar, Shiu, et al.
Publicado: (2017)

Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing
por: Rosenfelder, Martin Justinus, et al.
Publicado: (2023)

MILimbEEG: A dataset of EEG signals related to upper and lower limb execution of motor and motor imagery tasks
por: Asanza, Víctor, et al.
Publicado: (2023)

EEG oscillatory patterns and classification of sequential compound limb motor imagery
por: Yi, Weibo, et al.
Publicado: (2016)

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification
por: She, Qingshan, et al.
Publicado: (2015)

EEG feature comparison and classification of simple and compound limb motor imagery
por: Yi, Weibo, et al.
Publicado: (2013)

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)

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

Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals
por: Batres-Mendoza, Patricia, et al.
Publicado: (2016)

Left-Hemisphere Delay of EEG Potentials Evoked by Standard Letter Stimuli During Rapid Serial Visual Presentation: Indicating Right-Hemisphere Advantage or Left-Hemisphere Load?
por: Śmigasiewicz, Kamila, et al.
Publicado: (2019)

Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness
por: Höller, Yvonne, et al.
Publicado: (2013)

Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry
por: Guan, Shan, et al.
Publicado: (2019)

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

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

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

Early-stage fusion of EEG and fNIRS improves classification of motor imagery
por: Li, Yang, et al.
Publicado: (2023)

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)

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

Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
Publicado: (2021)

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)

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition
por: Hou, Yimin, et al.
Publicado: (2022)

Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
por: Tayeb, Zied, et al.
Publicado: (2019)

Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning
por: Xu, Jiacan, et al.
Publicado: (2020)

Correction: Comparison of EEG-Features and Classification Methods for Motor Imagery in Patients with Disorders of Consciousness
Publicado: (2014)

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

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

Cannot write session to /tmp/vufind_sessions/sess_hiqmjmea2uoejaod8beivsi6ac