OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals

Huffman quantization approach for optimized EEG signal compression with transformation technique

(2020) P. Rajasekar et al.   SOFT COMPUTING

Sleep Stage Classification Using Time-Frequency Spectra From Consecutive Multi-Time Points

(2020) Ziliang Xu et al.   Frontiers in Neuroscience

Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification

(2020) Yunyuan Gao et al.   Frontiers in Neurology

Epilepsy EEG Signal Classification Algorithm Based on Improved RBF

(2020) Dongmei Zhou et al.   Frontiers in Neuroscience

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder

(2020) Junxiu Liu et al.   Frontiers in Systems Neuroscience

Locally robust EEG feature selection for individual-independent emotion recognition

(2020) Zhong Yin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Brain wave classification using long short-term memory network based OPTICAL predictor

(2019) Shiu Kumar et al.   Scientific Reports

Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features

(2019) Fu Yang et al.   Frontiers in Computational Neuroscience

Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain–Computer Interfaces

(2019) Berdakh Abibullaev et al.   IEEE Journal of Biomedical and Health Informatics

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

(2019) Alok Sharma et al.   Scientific Reports

Sleep stage classification from heart-rate variability using long short-term memory neural networks

(2019) Mustafa Radha et al.   Scientific Reports

Optimizing Prediction Model for a Noninvasive Brain–Computer Interface Platform Using Channel Selection, Classification, and Regression

(2019) Soheil Borhani et al.   IEEE Journal of Biomedical and Health Informatics

A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification

(2019) Hao Wu et al.   Frontiers in Neuroscience

An information fusion scheme based common spatial pattern method for classification of motor imagery tasks

(2018) Jie Wang et al.   Biomedical Signal Processing and Control

EEG-modulated robotic rehabilitation system for upper extremity

(2018) Baoguo Xu et al.   BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT

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

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

(2018) Yu Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings

(2018) Jacek Wodecki et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Operation of a P300-based brain-computer interface in patients with Duchenne muscular dystrophy

(2018) Kota Utsumi et al.   Scientific Reports

Sparse Group Representation Model for Motor Imagery EEG Classification

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

Combining Cryptography with EEG Biometrics

(2018) Robertas Damaševičius et al.   Computational Intelligence and Neuroscience

A High-Speed SSVEP-Based BCI Using Dry EEG Electrodes

(2018) Xiao Xing et al.   Scientific Reports

An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation

(2018) Anirban Chowdhury et al.   JOURNAL OF NEUROSCIENCE METHODS

Epileptic Seizure Detection Based on EEG Signals and CNN

(2018) Mengni Zhou et al.   Frontiers in Neuroinformatics

A Novel Nonlinear Dynamic Method for Stroke Rehabilitation Effect Evaluation Using EEG

(2017) Hong Zeng et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

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

A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

(2017) Wajid Mumtaz et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

EEG datasets for motor imagery brain–computer interface

(2017) Hohyun Cho et al.   GigaScience

Regularized common spatial patterns with subject-to-subject transfer of EEG signals

(2016) Minmin Cheng et al.   Cognitive Neurodynamics

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

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

Dynamic frequency feature selection based approach for classification of motor imageries

(2016) Jing Luo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

(2016) Haiqiang Wang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A novel EEG feature extraction method based on OEMD and CSP algorithm

(2016) Li Mingai et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness

(2016) Yuanqing Li et al.   PROCEEDINGS OF THE IEEE

Binary particle swarm optimization for frequency band selection in motor imagery based brain-computer interfaces

(2015) Qingguo Wei et al.   BIO-MEDICAL MATERIALS AND ENGINEERING

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

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

A Neural Network-Based Optimal Spatial Filter Design Method for Motor Imagery Classification

(2015) Ayhan Yuksel et al.   PLoS One

Neurophysiological predictor of SMR-based BCI performance

(2010) Benjamin Blankertz et al.   NEUROIMAGE

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

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