Overall optimization of CSP based on ensemble learning for motor imagery EEG decoding

Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain–computer interfaces

(2021) Cili Zuo et al.   Journal of Neural Engineering

Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification

(2021) Nitesh Singh Malan et al.   Biomedical Signal Processing and Control

EEG Feature Extraction Based on a Bilevel Network: Minimum Spanning Tree and Regional Network

(2020) Zhizeng Luo et al.   Electronics

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks

(2020) Li Wang et al.   Biomedical Signal Processing and Control

Local temporal common spatial patterns modulated with phase locking value

(2020) Zhenhua Yu et al.   Biomedical Signal Processing and Control

Efficient CSP Algorithm With Spatio-Temporal Filtering for Motor Imagery Classification

(2020) Aimin Jiang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A novel hybrid kernel function relevance vector machine for multi-task motor imagery EEG classification

(2020) Enzeng Dong et al.   Biomedical Signal Processing and Control

Feature subset and time segment selection for the classification of EEG data based motor imagery

(2020) Jie Wang et al.   Biomedical Signal Processing and Control

Temporal frequency joint sparse optimization and fuzzy fusion for motor imagery-based brain-computer interfaces

(2020) Cili Zuo et al.   JOURNAL OF NEUROSCIENCE METHODS

Motor imagery EEG classification based on ensemble support vector learning

(2020) Jing Luo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

(2020) Jing Jin et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Improvement motor imagery EEG classification based on sparse common spatial pattern and regularized discriminant analysis

(2020) Rongrong Fu et al.   JOURNAL OF NEUROSCIENCE METHODS

Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification

(2020) Feifei Qi et al.   IEEE Transactions on Cybernetics

Common Spatial Pattern Reformulated for Regularizations in Brain–Computer Interfaces

(2020) Boyu Wang et al.   IEEE Transactions on Cybernetics

A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG

(2019) Victoria Peterson et al.   Journal of Neural Engineering

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

(2019) Natasha Padfield et al.   SENSORS

Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

(2019) Haider Raza et al.   NEUROCOMPUTING

Frequency-Optimized Local Region Common Spatial Pattern Approach for Motor Imagery Classification

(2019) Yongkoo Park et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Motor Imagery EEG Classification Using Capsule Networks

(2019) Kwon-Woo Ha et al.   SENSORS

A dynamic and self-adaptive classification algorithm for motor imagery EEG signals

(2019) Kais Belwafi et al.   JOURNAL OF NEUROSCIENCE METHODS

Toward optimal feature and time segment selection by divergence method for EEG signals classification

(2018) Jie Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCI

(2018) Vasilisa Mishuhina et al.   IEEE SIGNAL PROCESSING LETTERS

Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification

(2018) Sang-Hoon Park et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

An embedded implementation based on adaptive filter bank for brain–computer interface systems

(2018) Kais Belwafi et al.   JOURNAL OF NEUROSCIENCE METHODS

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

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

Towards correlation-based time window selection method for motor imagery BCIs

(2018) Jiankui Feng et al.   NEURAL NETWORKS

Sparse Group Representation Model for Motor Imagery EEG Classification

(2018) Yong Jiao et al.   IEEE Journal of Biomedical and Health Informatics

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

(2018) Yu Zhang et al.   IEEE Transactions on Cybernetics

Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine

(2018) Yixuan Dai et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network

(2018) Yaqi Chu et al.   Frontiers in Neuroscience

A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest

(2018) Ranran Zhang et al.   IEEE Access

A CSP\AM-BA-SVM Approach for Motor Imagery BCI System

(2018) Sahar Selim et al.   IEEE Access

Small Sample Setting and Frequency Band Selection Problem Solving Using Subband Regularized Common Spatial Pattern

(2017) Sang-Hoon Park et al.   IEEE SENSORS JOURNAL

Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain–Computer Interface

(2017) Shang-Lin Wu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification

(2017) Yu Zhang et al.   International Journal of Neural Systems

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

Robust common spatial patterns with sparsity

(2016) Xiaomeng Li et al.   Biomedical Signal Processing and Control

A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification

(2016) A.K. Das et al.   EXPERT SYSTEMS WITH APPLICATIONS

Common spatial pattern-based feature extraction from the best time segment of BCI data

(2016) Önder AYDEMİR   Turkish Journal of Electrical Engineering and Computer Sciences

Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

(2015) Yu Zhang et al.   JOURNAL OF NEUROSCIENCE METHODS

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG

(2015) Feifei Qi et al.   IEEE Transactions on Neural Networks and Learning Systems

L1 Norm based common spatial patterns decomposition for scalp EEG BCI

(2013) Peiyang Li et al.   Biomedical Engineering Online

Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI

(2013) Peng Xu et al.   Biomedical Signal Processing and Control

Sparse spatial filter via a novel objective function minimization with smooth ℓ1 regularization

(2012) Ibrahim Onaran et al.   Biomedical Signal Processing and Control

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

L1-Norm-Based Common Spatial Patterns

(2011) Haixian Wang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

(2010) Haiping Lu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

(2010) Fabien Lotte et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING