Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 82912 10 pages doi 2007 82912 Research Article Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation Loukianos Spyrou 1 Min Jing 1 Saeid Sanei 1 and Alex Sumich2 1 The Centre of Digital Signal Processing School of Engineering Cardiff University Queen s Buildings P O. Box 925 Newport Road Cardiff CF24 3AA Wales UK 2 The Brain Image Analysis Unit Institute of Psychiatry King s College Hospital London SE5 8AF UK Received 1 October 2005 Revised 31 May 2006 Accepted 11 June 2006 Recommended by Frank Ehlers Separation and localisation of P300 sources and their constituent subcomponents for both visual and audio stimulations is investigated in this paper. An effective constrained blind source separation CBSS algorithm is developed for this purpose. The algorithm is an extension of the Infomax BSS system for which a measure of distance between a carefully measured P300 and the estimated sources is used as a constraint. During separation the proposed CBSS method attempts to extract the corresponding P300 signals. The locations of the corresponding sources are then estimated with some indeterminancy in the results. It can be seen that the locations of the sources change for a schizophrenic patient. The experimental results verily the statistical significance of the method and its potential application in the diagnosis and monitoring of schizophrenia. Copyright 2007 Loukianos Spyrou et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Event-related potentials ERPs are those electroencephalograms EEGs which directly measure the electrical response of the cortex to sensory affective and or cognitive events. The fine-grained temporal .
