Elie Bou Assi, Sandy Rihana

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  1. [1]. J. Chambers, S. Sanei, EEG Signal Processing. (Chichester, England : John Wiley & Sons, Ltd., 2007).
  2. [2]. Eleni Kroupi, Ashkan Yazdani, Touradj Ebrahimi, JeanMarc Vesin, Ocular artifact removal from EEG: a comparison subspace projection and adaptive filtering method. Eusipco, Proceedings of 19th European Signal Processing Conference, Barcelona, Spain, 2011, EPFLCONF-167489.
  3. [3].Mehrdad Fatourechi, Ali Bashashati, Rabab K Ward, and Gary E Birch, EMG and EOG Artifacts in Brain Computer Interface 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 artifacts fromEEG data using blind component seperation,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 automatic ocular filtering method for awake spontaneous EEG signals based on independent component analysis. Proc. 26th Annual 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 for Complex Physiologic Signals." Circulation 101(23):e215e220. PhysioBank, PhysioToolkit, and PhysioNet. [Online] Figure 6 (a) Artifactual EEG segment before denoising, (b) Processed EEG segement. It is clear that the ocular artifact existing at time point 1600 has been removed. Figure 7 2D scalp maps of EEG before denoising showing the onset of the eye blinking and its propagation. 237 June 13, 2000 .
  7. [7]. Clemens Brunner, Arnaud Delorme,Scott Makeig, Eeglab – an Open Source Matlab Toolbox for Electrophysiological Research, Biomedical Engineering / Biomedizinische Technik, 2013.
  8. [8]. Rangaraj M. Rangayyan, Biomedical Signal Analysis.(Wiley-IEEE Press,Canada, 2002).
  9. [9]. Kelly Zou, Aiyi Liu, Andriy Bandos Lucila OhnoMachahdo, Howard Rockette, Statistical Evaluaion of Diagnostic Performance Topics in ROC Analysis(Boca Raton,Fl : CRC Press, 2012).
  10. [10]. L. Vigon, M.R. Saatchi, J.E.W. Mayhew, R. Fernandes, Quantitative evaluation of techniques for ocular artefact filtering of EEG waveforms,Science, Measurement and 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 Ocular Artifacts in High-Dimensional Neural Data,IEEE Trans. on Biomed. Eng., 58, 2011,598 606.
  12. [12]. M. Gyanaprava, B.Kumar and M. Asit Kumar, Denoising of heart sound signal using wavelet transform,International Journal of Research in Engineering and Technology, 2(4), 2013, 2319 1163.
  13. [13]. A.Delorme, S. Makeig, EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independentcomponent analysis,Journal of Neuroscience Methods,134(1) 2004, 9-21.
  14. [14]. Anthony Bell, Terrence Sejnowski, An InformationMaximization Approach to Blind Separation and Blind Deconvolution,Neural Computation, 7(6),1995,1129-1159.
  15. [15]. J. Richman, J. Moorman,Physiological time-series analysis using approximate entropy and sample entropy, American Journal of physiology, heart and circulatory physiology, 278(6),2000, 2039-2049.

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