Dimensionality Reduction and Channel Selection of Motor Imagery Electroencephalographic Data
暂无分享,去创建一个
[1] Miguel A. L. Nicolelis,et al. Actions from thoughts , 2001, Nature.
[2] G Pfurtscheller,et al. Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data , 2002, Clinical Neurophysiology.
[3] Wei Lu,et al. Approach and applications of constrained ICA , 2005, IEEE Transactions on Neural Networks.
[4] Clemens Brunner,et al. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks , 2006, NeuroImage.
[5] Xiaorong Gao,et al. Bipolar electrode selection for a motor imagery based brain–computer interface , 2008, Journal of neural engineering.
[6] G. Pfurtscheller,et al. 15 years of BCI research at graz university of technology: current projects , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[7] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[8] Niels Birbaumer,et al. Brain–computer-interface research: Coming of age , 2006, Clinical Neurophysiology.
[9] Dennis J. McFarland,et al. Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.
[10] Aapo Hyvärinen,et al. A family of fixed-point algorithms for independent component analysis , 1997, ICASSP.
[11] B. Hjorth. An on-line transformation of EEG scalp potentials into orthogonal source derivations. , 1975, Electroencephalography and clinical neurophysiology.
[12] Eric Moulines,et al. A blind source separation technique using second-order statistics , 1997, IEEE Trans. Signal Process..
[13] Miguel A. L. Nicolelis,et al. Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.
[14] Erkki Oja,et al. The nonlinear PCA criterion in blind source separation: Relations with other approaches , 1998, Neurocomputing.
[15] Klaus-Robert Müller,et al. Spatio-spectral filters for improving the classification of single trial EEG , 2005, IEEE Transactions on Biomedical Engineering.
[16] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[17] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[18] Aapo Hyvärinen,et al. A Fast Fixed-Point Algorithm for Independent Component Analysis , 1997, Neural Computation.
[19] David G. Stork,et al. Pattern Classification , 1973 .
[20] Natasa Kovacevic,et al. Groupwise independent component decomposition of EEG data and partial least square analysis , 2007, NeuroImage.
[21] S. Vaseghi,et al. PRINCIPAL AND INDEPENDENT COMPONENT ANALYSIS IN IMAGE PROCESSING , 2006 .
[22] G Pfurtscheller,et al. Seperability of four-class motor imagery data using independent components analysis , 2006, Journal of neural engineering.
[23] H. Berger. Über das Elektrenkephalogramm des Menschen , 1938, Archiv für Psychiatrie und Nervenkrankheiten.
[24] Christopher J. James,et al. Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis , 2003, IEEE Transactions on Biomedical Engineering.
[25] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[26] 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.