EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition
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[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[3] Liang Lu,et al. Variational Bayesian Joint factor analysis for speaker verification , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[4] Andrzej Cichocki,et al. ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection , 2010, BIOSIGNALS.
[5] D.R. Hush,et al. Progress in supervised neural networks , 1993, IEEE Signal Processing Magazine.
[6] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[7] Andrzej Cichocki,et al. A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG , 2010, NeuroImage.
[8] Danilo P. Mandic,et al. Application of multivariate empirical mode decomposition for seizure detection in EEG signals , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[9] D. P. Mandic,et al. Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[10] Toshihisa Tanaka,et al. Separation of EOG artifacts from EEG signals using bivariate EMD , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[11] Toshihisa Tanaka,et al. Multichannel spectral pattern separation - An EEG processing application - , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[12] Gabriel Rilling,et al. On empirical mode decomposition and its algorithms , 2003 .
[13] Danilo P. Mandic,et al. Empirical Mode Decomposition for Trivariate Signals , 2010, IEEE Transactions on Signal Processing.
[14] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[15] David M. Skapura,et al. Neural networks - algorithms, applications, and programming techniques , 1991, Computation and neural systems series.
[16] Andrzej Cichocki,et al. EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts , 2008, Physiological measurement.
[17] Andrzej Cichocki,et al. Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals , 2018, IJCCI.
[18] K Ramadoss,et al. Automatic Identification and Removal of Ocular Artifacts from EEG using Wavelet Transform , 2006 .
[19] Pablo F. Diez,et al. Application of the empirical mode decomposition to the extraction of features from EEG signals for mental task classification , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[20] Ali Yener Mutlu,et al. Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization , 2011, EURASIP J. Adv. Signal Process..
[21] Toshihisa Tanaka,et al. Artifact suppression from EEG signals using data adaptive time domain filtering , 2012, Neurocomputing.
[22] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..