Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals

Eye movements and eye blinks are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper an extension of empirical mode decomposition (EMD) is proposed in order to clean EEG data of eye blinks artifacts. This is achieved by applying two cleaning methods to EEG simulated data. One of these methods is presented only for illustrative purposes, whereas the second one can be applied to real EEG data. The results show that the cleaned data with both these methods presents high correlation (|r| > 0.8) with the simulated EEG clean data.

[1]  Toshihisa Tanaka,et al.  Multichannel spectral pattern separation - An EEG processing application - , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  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.

[3]  Andrzej Cichocki,et al.  EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts , 2008, Physiological measurement.

[4]  R. Barry,et al.  Removal of ocular artifact from the EEG: a review , 2000, Neurophysiologie Clinique/Clinical Neurophysiology.

[5]  M. C. Ma,et al.  Notes on EEG Resampling by Natural Cubic Spline Interpolation , 2002 .

[6]  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.

[7]  Ali Yener Mutlu,et al.  Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization , 2011, EURASIP J. Adv. Signal Process..

[8]  J. Kropotov.  Quantitative EEG, Event-Related Potentials and Neurotherapy , 2008 .

[9]  T. Sejnowski,et al.  Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects , 2000, Clinical Neurophysiology.

[10]  K Ramadoss,et al.  Automatic Identification and Removal of Ocular Artifacts from EEG using Wavelet Transform , 2006 .

[11]  Andrzej Cichocki,et al.  ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection , 2010, BIOSIGNALS.

[12]  D. P. Mandic,et al.  Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  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.

[14]  R D Pascual-Marqui,et al.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.