Related references
Note: Only part of the references are listed.Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Electroencephalography-based motor imagery classification using temporal convolutional network fusion
Yazeed K. Musallam et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications
Shalu Chaudhary et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
Javier Leon et al.
PLOS ONE (2020)
A review on transfer learning in EEG signal analysis
Zitong Wan et al.
NEUROCOMPUTING (2020)
A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding
Yang Li et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2019)
A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
Hao Wu et al.
FRONTIERS IN NEUROSCIENCE (2019)
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
Zhiwen Zhang et al.
IEEE ACCESS (2019)
Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm
Musa Mahmood et al.
NATURE MACHINE INTELLIGENCE (2019)
EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces
Vernon J. Lawhern et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification
Antonio Maria Chiarelli et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Brain-computer interface use is a skill that user and system acquire together
Dennis J. McFarland et al.
PLOS BIOLOGY (2018)
Controlling of smart home system based on brain-computer interface
Qiang Gao et al.
TECHNOLOGY AND HEALTH CARE (2018)
Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving
Thorsten O. Zander et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2017)
Deep Learning With Convolutional Neural Networks for EEG Decoding and Visualization
Robin Tibor Schirrmeister et al.
HUMAN BRAIN MAPPING (2017)
Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels
Yuan Yang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
EEG-fMRI Bayesian framework for neural activity estimation: a simulation study
Pierpaolo Croce et al.
JOURNAL OF NEURAL ENGINEERING (2016)
Multi-level 3D Wavelet Analysis: Application to Brain Tumor Classification
Dolly Kharbanda et al.
2016 INTERNATIONAL CONFERENCE ON MICRO-ELECTRONICS AND TELECOMMUNICATION ENGINEERING (ICMETE) (2016)
Optimization of Single-Trial Detection of Event-Related Potentials Through Artificial Trials
Hubert Cecotti et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2015)
Feature extraction and recognition of ictal EEG using EMD and SVM
Shufang Li et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2013)
A novel P300-based brain-computer interface stimulus presentation paradigm: Moving beyond rows and columns
G. Townsend et al.
CLINICAL NEUROPHYSIOLOGY (2010)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
SRDA: An efficient algorithm for large-scale discriminant analysis
Deng Cai et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2008)
Combined optimization of spatial and temporal filters for improving brain-computer interfacing
Guido Dornhege et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2006)
Spatio-spectral filters for improving the classification of single trial EEG
S Lemm et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2005)
Share Paper
