Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework

(2019) Mengxi Dai et al.   SENSORS

Spatial–Temporal Discriminative Restricted Boltzmann Machine for Event-Related Potential Detection and Analysis

(2019) Jingcong Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Filtering techniques for channel selection in motor imagery EEG applications: a survey

(2019) Muhammad Zeeshan Baig et al.   ARTIFICIAL INTELLIGENCE REVIEW

A novel method for classification of BCI multi-class motor imagery task based on Dempster–Shafer theory

(2019) Sara Razi et al.   INFORMATION SCIENCES

Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods

(2019) Ikhtiyor Majidov et al.   SENSORS

A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding

(2019) Yang Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization

(2019) Amr Farahat et al.   Journal of Neural Engineering

Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns

(2019) Mahdieh Mohseni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Analysis and classification of hybrid BCI based on motor imagery and speech imagery

(2019) Li Wang et al.   MEASUREMENT

A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry

(2018) Pramod Gaur et al.   EXPERT SYSTEMS WITH APPLICATIONS

A New Self-Regulated Neuro-Fuzzy Framework for Classification of EEG Signals in Motor Imagery BCI

(2018) Aysa Jafarifarmand et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machine

(2018) Jingcong Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A new parameter tuning approach for enhanced motor imagery EEG signal classification

(2018) Shiu Kumar et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

(2018) Siavash Sakhavi et al.   IEEE Transactions on Neural Networks and Learning Systems

Decoding of Ankle Flexion and Extension from Cortical Current Sources Estimated from Non-invasive Brain Activity Recording Methods

(2018) Alejandra Mejia Tobar et al.   Frontiers in Neuroscience

Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information

(2018) Mahmoud Mahmoudi et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Classification of multiple motor imagery using deep convolutional neural networks and spatial filters

(2018) Brenda E. Olivas-Padilla et al.   APPLIED SOFT COMPUTING

Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

(2017) Yizhang Jiang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices

(2017) Xiaofeng Xie et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation

(2017) Kai Keng Ang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines

(2017) Na Lu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Discriminative spatial-frequency-temporal feature extraction and classification of motor imagery EEG: An sparse regression and Weighted Naïve Bayesian Classifier-based approach

(2017) Minmin Miao et al.   JOURNAL OF NEUROSCIENCE METHODS

Application of artificial bee colony algorithm in feature optimization for motor imagery EEG classification

(2017) Minmin Miao et al.   NEURAL COMPUTING & APPLICATIONS

Subject-based feature extraction by using fisher WPD-CSP in brain–computer interfaces

(2016) Banghua Yang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Separable Common Spatio-Spectral Patterns for Motor Imagery BCI Systems

(2016) Amirhossein S. Aghaei et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

User-customized brain computer interfaces using Bayesian optimization

(2016) Hossein Bashashati et al.   Journal of Neural Engineering

Extracting the nonlinear features of motor imagery EEG using parametric t-SNE

(2016) Ming-ai Li et al.   NEUROCOMPUTING

Optimizing Single-Trial EEG Classification by Stationary Matrix Logistic Regression in Brain–Computer Interface

(2016) Hong Zeng et al.   IEEE Transactions on Neural Networks and Learning Systems

A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

(2009) K.P. Thomas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

An efficient hybrid linear and kernel CSP approach for EEG feature extraction

(2009) Behrooz Nasihatkon et al.   NEUROCOMPUTING

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

(2008) Benjamin Blankertz et al.   IEEE SIGNAL PROCESSING MAGAZINE

Brain–computer interfaces in neurological rehabilitation

(2008) Janis J Daly et al.   LANCET NEUROLOGY