Fetching the paper…
Reading the bibliography…
In Brain Computer Interface (BCI), data generated from Electroencephalogram (EEG) is non-stationary with low signal to noise ratio and contaminated with artifacts.
Toward direct brain-computer communication
Jacques J Vidal. 1973 · 1973
Earlier work this paper cites.
The concept of a linguistic variable and its application to approximate reasoning—I
Lotfi A Zadeh. 1975 · 1975
Earlier work this paper cites.
Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
Lawrence Ashley Farwell and Emanuel Donchin. 1988 · 1988
Earlier work this paper cites.
An Information-maximization Approach to Blind Separation and Blind Deconvolution
Anthony J. Bell and Terrence J. Sejnowski. 1995 · 1995
Earlier work this paper cites.
A blind source separation technique using second-order statistics
A. Belouchrani, K. Abed-Meraim, J. F. Cardoso, and E. Moulines. 1997 · 1997
Earlier work this paper cites.
Fast and robust fixed-point algorithms for independent component analysis
A. Hyvarinen. 1999 · 1999
Earlier work this paper cites.
Designing optimal spatial filters for single-trial EEG classification in a movement task
Johannes Müller-Gerking, Gert Pfurtscheller, and Henrik Flyvbjerg. 1999 · 1999
Earlier work this paper cites.
Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction
M. Grosse-Wentrup and M. Buss. 2008 · 2000
Earlier work this paper cites.
Interval type-2 fuzzy logic systems: theory and design
Qilian Liang and Jerry M Mendel. 2000 · 2000
Earlier work this paper cites.
Matrix analysis and applied linear algebra
C. D. Meyer. 2000 · 2000
Earlier work this paper cites.
Optimal spatial filtering of single trial EEG during imagined hand movement
H. Ramoser, J. Muller-Gerking, and G. Pfurtscheller. 2000 · 2000
Earlier work this paper cites.
Brain-computer interface technology: a review of the first international meeting
J. R. Wolpaw, N. Birbaumer, W. J. Heetderks, D. J. McFarland, P. H. Peckham, G. Schalk, E. Donchin, L. A. Quatrano, C. J. Robinson, and T. M. Vaughan. 2000 · 2000
Earlier work this paper cites.
Type-2 fuzzy sets made simple
Jerry M Mendel and RI Bob John. 2002 · 2002
Earlier work this paper cites.
Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems
Eleanor A Curran and Maria J Stokes. 2003 · 2003
Earlier work this paper cites.
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
B. Blankertz, K. R. Muller, G. Curio, T. M. Vaughan, G. Schalk, J. R. Wolpaw, A. Schlogl, C. Neuper, G. Pfurtscheller, T. Hinterberger, M. Schroder, and N. Birbaumer. 2004 · 2004
Earlier work this paper cites.
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
G. Dornhege, B. Blankertz, G. Curio, and K. R. Muller. 2004a · 2004
Earlier work this paper cites.
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
G. Dornhege, B. Blankertz, G. Curio, and K. R. Muller. 2004b · 2004
Earlier work this paper cites.
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
Inan Guler and Elif Derya Ubeyli. 2005 · 2005
Earlier work this paper cites.
Investigation of the type-2 fuzzy logic approach to classification in an EEG-based brain-computer interface. In Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the . IEEE, 5354–5357
P Herman, Girijesh Prasad, and TM McGinnity. 2006 · 2005
Cited alongside, same era.
The BCI competition III: validating alternative approaches to actual BCI problems
B. Blankertz, K. R. Muller, D. J. Krusienski, G. Schalk, J. R. Wolpaw, A. Schlogl, G. Pfurtscheller, J. R. Millan, M. Schroder, and N. Birbaumer. 2006 · 2006
Cited alongside, same era.
Introduction to mathematical statistics and its applications . Vol. 31
Morris L Marx and Richard J Larsen. 2006 · 2006
Cited alongside, same era.
Seperability of four-class motor imagery data using independent components analysis
M Naeem, C Brunner, R Leeb, B Graimann, and G Pfurtscheller. 2006 · 2006
Cited alongside, same era.
Spatial filtering and selection of optimized components in four class motor imagery {EEG} data using independent components analysis
Regularized common spatial patterns with generic learning for EEG signal classification. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 6599–6602
H. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos. 2009 · 2009
Later among the works it cites.
Nonstationary Brain Source Separation for Multiclass Motor Imagery
C. Gouy-Pailler, M. Congedo, C. Brunner, C. Jutten, and G. Pfurtscheller. 2010 · 2010
Later among the works it cites.
EEG signal separation for multi-class motor imagery using common spatial patterns based on joint approximate diagonalization. In Neural Networks (IJCNN), The 2010 International Joint Conference on . IEEE, 1–6
Sidath Ravindra Liyanage, J-X Xu, CT Guan, Kai Keng Ang, and Tong Heng Lee. 2010 · 2010
Later among the works it cites.
Spatially Regularized Common Spatial Patterns for EEG Classification. In 20th International Conference on Pattern Recognition . 3712–3715
F. Lotte and C. Guan. 2010 · 2010
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Clemens Brunner, Muhammad Naeem, Robert Leeb, Bernhard Graimann, and Gert Pfurtscheller. 2007 · 2007
Cited alongside, same era.
Studying the use of fuzzy inference systems for motor imagery classification
Lotte Fabien, Lcuyer Anatole, Lamarche Fabrice, and Arnaldi Bruno. 2007 · 2007
Cited alongside, same era.
Robustifying EEG data analysis by removing outliers
Matthias Krauledat, Guido Dornhege, Benjamin Blankertz, and Klaus-Robert Müller. 2007 · 2007
Cited alongside, same era.
Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction
Abdulhamit Subasi. 2007 · 2007
Cited alongside, same era.
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K. r. Muller. 2008 · 2008
Cited alongside, same era.
Brain–computer interfaces in neurological rehabilitation
Janis J Daly and Jonathan R Wolpaw. 2008 · 2008
Cited alongside, same era.
Multi-Class Independent Common Spatial Patterns: Exploiting Energy Variations of Brain Sources. In Brain-Computer Interface Workshop and Training Course 2008 . Graz, Austria, 20–25
Cedric Gouy-Pailler, Marco Congedo, Clemens Brunner, Christian Jutten, and Gert Pfurtscheller. 2008 · 2008
Cited alongside, same era.
Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing. In Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on . IEEE, 1343–1349
Pawel Herman, Girijesh Prasad, and Thomas Martin McGinnity. 2008 · 2008
Cited alongside, same era.
Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
F. Lotte and C. Guan. 2011 · 2011
Later among the works it cites.
Evolving fuzzy systems-methodologies, advanced concepts and applications . Vol. 53
Edwin Lughofer. 2011 · 2011
Later among the works it cites.
Toward Unsupervised Adaptation of LDA for Brain Computer Interfaces
C. Vidaurre, M. Kawanabe, P. von Bünau, B. Blankertz, and K. R. Müller. 2011 · 2011
Later among the works it cites.
Review of the BCI Competition IV
Michael Tangermann, Klaus-Robert Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, Carsten Mehring, Kai J Miller, Gernot Mueller-Putz, Guido Nolte, Gert Pfurtscheller, Hubert Preissl, Gerwin Schalk, Alois Schlögl, Carmen Vidaurre, Stephan Waldert, and Benjamin Blankertz. 2012 · 2012
Later among the works it cites.
Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems
G. S. Babu and S. Suresh. 2013 · 2013
Later among the works it cites.
Importance of baseline in event-related desynchronization during a combination task of motor imagery and motor observation
Chayanin Tangwiriyasakul, Rens Verhagen, Michel J A M van Putten, and Wim L C Rutten. 2013 · 2013
Later among the works it cites.
Parkinson’s disease prediction using gene expression – A projection based learning meta-cognitive neural classifier approach
G. S. Babu and S. Suresh. 2013 · 2013
Later among the works it cites.
Bayesian Learning for Spatial Filtering in an EEG Based Brain-Computer Interface
H. Zhang, H. Yang, and C. Guan. 2013 · 2013
Later among the works it cites.
Adaptive neuro-fuzzy inference system for classification of background EEG signals from ESES patients and controls
Zhixian Yang, Yinghua Wang, and Gaoxiang Ouyang. 2014 · 2014
Later among the works it cites.
Generalized smart evolving fuzzy systems
Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, and Mahardhika Pratama. 2015 · 2015
Later among the works it cites.
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems
Thanh Nguyen, Abbas Khosravi, Douglas Creighton, and Saeid Nahavandi. 2015 · 2015
Later among the works it cites.
pClass: an effective classifier for streaming examples
Mahardhika Pratama, Sreenatha G Anavatti, Meng Joo, and Edwin David Lughofer. 2015 · 2015
Later among the works it cites.
A self-regulated interval type-2 neuro-fuzzy inference system for handling non-stationarities in EEG signals for BCI
A. K. Das, S. Sundaram, and N. Sundararajan. 2016 · 2016
Later among the works it cites.