Abstract
A robust constrained blind source separation (CBSS) algorithm has been proposed for separation and localization of the P300 sources in schizophrenia patients. The algorithm is an extension of the Infomax algorithm, based on minimization of mutual information, for which a reference P300 signal is used as a constraint. The reference signal forces the unmixing matrix to separate the sources of both auditory and visual P300 resulted from the corresponding stimulations. The constrained problem is then converted to an unconstrained problem by means of a set of nonlinear penalty functions. This leads to the modification of the overall cost function, based on the natural gradient algorithm (NGA). The P300 sources are then localized based on electrode – source correlations.
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References
Niedermeyer, E., Da Silva, F.L.: Electroencephalography; basic principles, clinical applications, and related fields, Ed. 4, LW&W (1999)
Vigario, R.N.: Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalography and Clinical Neurophysiology 103, 395–404 (1997)
Cichocki, A., et al.: Neural networks for blind separation with unknown number of sources. Neurocomputing 24(1-3), 55–93 (1999)
Makeig, S., et al.: Independent component analysis of electroencephalographic data. In: Advances in neural information processing systems 8, pp. 145–151. MIT Press, Cambridge (1996)
Cardoso, J.F.: Infomax and maximum likelihood for blind source separation. IEEE Signal Processing Letter 4, 109–111 (1997)
Cichocki, A., Amari, S.I.: Adaptive blind signal and image processing. J. Wiley, Chichester (2002)
Wang, W., Sanei, S., Chambers, J.A.: Penalty function based joint diagonalization approach for convolutive blind separation of nonstationary sources. To be published in IEEE Transactions on Signal Processing
Mosher, J.C., Leahy, R.M.: Source localization using recursively applied and projected (RAP) MUSIC. IEEE Trans. on SP 47(2), 332–340 (1999)
Mosher, J.C., Leahy, R.M., Lewis, P.S.: EEG and MEG: Forward solutions for inverse methods. IEEE Trans. on Biomedical Engineering 46(3), 245–259 (1999)
Coope, I.D.: Reliable computation of the points of intersection of n spheres in Rn. ANZIAM J. 42(E), C461–C477 (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Sanei, S., Spyrou, L., Wang, W., Chambers, J.A. (2004). Localization of P300 Sources in Schizophrenia Patients Using Constrained BSS. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_23
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DOI: https://doi.org/10.1007/978-3-540-30110-3_23
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