Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces

A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications

(2020) Shalu Chaudhary et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

(2020) Jiacan Xu et al.   SENSORS

Removal of Artifacts from EEG Signals: A Review

(2019) Xiao Jiang et al.   SENSORS

An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System

(2019) Jian Kui Feng et al.   Computational Intelligence and Neuroscience

A New Design of Mental State Classification for Subject Independent BCI Systems

(2019) Md.A.M. Joadder et al.   IRBM

Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms

(2018) Shivarudhrappa Raghu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications

(2018) Sachin Taran et al.   MEASUREMENT

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

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

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

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

Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications

(2017) Piotr Szczuko   MULTIMEDIA TOOLS AND APPLICATIONS

Reducing training requirements through evolutionary based dimension reduction and subject transfer

(2017) Adham Atyabi et al.   NEUROCOMPUTING

Adaptive Feature Extraction of Motor Imagery EEG with Optimal Wavelet Packets and SE-Isomap

(2017) Ming-ai Li et al.   Applied Sciences-Basel

Detection of motor imagery EEG signals employing Naïve Bayes based learning process

(2016) Siuly et al.   MEASUREMENT

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

(2016) Ming-ai Li et al.   NEUROCOMPUTING

Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface

(2014) Siuly et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

(2013) Roshan Joy Martis et al.   Biomedical Signal Processing and Control

Transferring Subspaces Between Subjects in Brain--Computer Interfacing

(2013) Wojciech Samek et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Classification accuracy is not enough

(2013) Bob L. Sturm   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata

(2013) Saugat Bhattacharyya et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Analysis the effect of PCA for feature reduction in non-stationary EEG based motor imagery of BCI system

(2013) Xinyang Yu et al.   OPTIK

Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces

(2013) Rui Zhang et al.   PLoS One

Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

(2012) U. Rajendra Acharya et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface

(2012) Siuly Siuly et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Automatic and Adaptive Classification of Electroencephalographic Signals for Brain Computer Interfaces

(2012) Germán Rodríguez-Bermúdez et al.   JOURNAL OF MEDICAL SYSTEMS

Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI

(2011) Dieter Devlaminck et al.   Computational Intelligence and Neuroscience

Clustering technique-based least square support vector machine for EEG signal classification

(2010) Siuly et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

EEG signal classification using PCA, ICA, LDA and support vector machines

(2010) Abdulhamit Subasi et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Adapting subject specific motor imagery EEG patterns in space–time–frequency for a brain computer interface

(2009) Nuri F. Ince et al.   Biomedical Signal Processing and Control

Composite Common Spatial Pattern for Subject-to-Subject Transfer

(2009) Hyohyeong Kang et al.   IEEE SIGNAL PROCESSING LETTERS

Non-invasive brain–computer interface system: Towards its application as assistive technology

(2008) Febo Cincotti et al.   BRAIN RESEARCH BULLETIN

Brain–computer interface in paralysis

(2008) Niels Birbaumer et al.   CURRENT OPINION IN NEUROLOGY