Model-based approach to EEG classification

[1]  Helge J. Ritter,et al.  BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm , 2004, IEEE Transactions on Biomedical Engineering.

[2]  Lei Ding,et al.  Motor imagery classification by means of source analysis for brain–computer interface applications , 2004, Journal of neural engineering.

[3]  E. Niedermeyer,et al.  Dipole Theory and Electroencephalography , 1996, Clinical EEG.

[4]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[5]  B. Kamousi,et al.  Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  Paul L. Nunez,et al.  Primer on Electroencephalography for Functional Connectivity , 2007 .

[7]  S. Luck.  An Introduction to the Event-Related Potential Technique , 2005 .

[8]  Geoffrey J. McLachlan,et al.  Discriminant Analysis and Statistical Pattern Recognition: McLachlan/Discriminant Analysis & Pattern Recog , 2005 .

[9]  J.L.M. Perez,et al.  Linear Discriminant Analysis on Brain Computer Interface , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[10]  Bart Vanrumste,et al.  Review on solving the forward problem in EEG source analysis , 2007, Journal of NeuroEngineering and Rehabilitation.

[11]  G. Pfurtscheller,et al.  Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[12]  Robert Oostenveld,et al.  FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..

[13]  Abdulhamit Subasi,et al.  Classification of EEG signals using neural network and logistic regression , 2005, Comput. Methods Programs Biomed..

[14]  R. Leahy,et al.  EEG and MEG: forward solutions for inverse methods , 1999, IEEE Transactions on Biomedical Engineering.

[15]  Jonathan R Wolpaw,et al.  Brain–computer interfaces as new brain output pathways , 2007, The Journal of physiology.