Elie Bou Assi, Sandy Rihana

View Full Paper


  1. [1]. J. Chambers, S. Sanei, EEG Signal Processing.(Chichester, England : John Wiley & Sons, Ltd., 2007).
  2. [2]. Eleni Kroupi, Ashkan Yazdani, Touradj Ebrahimi, Jean-Marc Vesin, Ocular artifact removal from EEG: acomparison subspace projection and adaptive filteringmethod. Eusipco, Proceedings of 19th European SignalProcessing Conference, Barcelona, Spain, 2011, EPFL-CONF-167489.
  3. [3].Mehrdad Fatourechi, Ali Bashashati, Rabab K Ward, andGary E Birch, EMG and EOG Artifacts in Brain ComputerInterface Systems: A Survey, Clinical Neurophysiology,118, 2007, 1388-2457.
  4. [4]. Joyce Carrie, Irina Gorodnitsky, Marta Kutas,Automatic removal of eye movement and eye blink artifactsfromEEG data using blind componentseperation,Psychophysiology, 41(2), 2004, 315-325.
  5. [5]. S. Romero , MA. Mananas, J. Riba, A. Morte, S.Gimenez, S. Clos, MJ. Barbanoj,Evaluation of an automaticocular filtering method for awake spontaneous EEG signalsbased on independent component analysis. Proc. 26thAnnual International Conference of the IEEE,San Francisco,CA,2004, 925-928.
  6. [6]. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM,Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K,Stanley HE."Components of a New Research Resource forComplex Physiologic Signals." Circulation 101(23):e215-e220. PhysioBank, PhysioToolkit, and PhysioNet. [Online]Figure 6 (a) Artifactual EEG segment beforedenoising, (b) Processed EEG segement. It is clear thatthe ocular artifact existing at time point 1600 has beenremoved.Figure 7 2D scalp maps of EEG before denoisingshowing the onset of the eye blinking and its propagation.237June 13, 2000 .
  7. [7]. Clemens Brunner, Arnaud Delorme,Scott Makeig,Eeglab – an Open Source Matlab Toolbox forElectrophysiological Research, Biomedical Engineering /Biomedizinische Technik, 2013.
  8. [8]. Rangaraj M. Rangayyan, Biomedical SignalAnalysis.(Wiley-IEEE Press,Canada, 2002).
  9. [9]. Kelly Zou, Aiyi Liu, Andriy Bandos Lucila Ohno-Machahdo, Howard Rockette, Statistical Evaluaion ofDiagnostic Performance Topics in ROC Analysis(BocaRaton,Fl : CRC Press, 2012).
  10. [10]. L. Vigon, M.R. Saatchi, J.E.W. Mayhew, R.Fernandes, Quantitative evaluation of techniques for ocularartefact filtering of EEG waveforms,Science, Measurementand Technology, IEEE Proceedings 147(5), 2000, 219 - 228.
  11. [11]. J. Kelly, D. Siewiorek, A. Smailagic, J. Collinger, D.Weber and W. Wang, Fully Automated Reduction of OcularArtifacts in High-Dimensional Neural Data,IEEE Trans. onBiomed. Eng., 58, 2011,598 - 606.
  12. [12]. M. Gyanaprava, B.Kumar and M. Asit Kumar,Denoising of heart sound signal using wavelettransform,International Journal of Research in Engineeringand Technology, 2(4), 2013, 2319 - 1163.
  13. [13]. A.Delorme, S. Makeig, EEGLAB: an open sourcetoolbox for analysis of single-trial EEG dynamics includingindependentcomponent analysis,Journal of NeuroscienceMethods,134(1) 2004, 9-21.
  14. [14]. Anthony Bell, Terrence Sejnowski, An Information-Maximization Approach to Blind Separation and BlindDeconvolution,Neural Computation, 7(6),1995,1129-1159.
  15. [15]. J. Richman, J. Moorman,Physiological time-seriesanalysis using approximate entropy and sample entropy,American Journal of physiology, heart and circulatoryphysiology, 278(6),2000, 2039-2049.

Important Links:

Go Back