An automatic detection and localization of P300 sub-components using ICA

Min Jing, Saeid Sanei, Alexander Sumich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Independent component analysis (ICA) has been applied for separation (BSS), detection and localization of P300 sub-components in this project. Event-related potential (ERP) is obtained from EEG data of the schizophrenia patients. The frequency analysis method is applied to extract P300 sub-components from the background EEG signal that contains noise and artefacts. By using JADE algorithm and correlation analysis, P300 sub-components (P3a/P3b) have been separated effectively. The components are then localized based on the correlations between the electrodes and the estimated source signals.
Original languageEnglish
Title of host publicationIEEE International Workshop on Biomedical Circuits and Systems 2004
PublisherIEEE
DOIs
Publication statusPublished - 27 Jun 2005
Event IEEE International Workshop on Biomedical Circuits and Systems 2004 - , Singapore
Duration: 1 Dec 20043 Dec 2004

Conference

Conference IEEE International Workshop on Biomedical Circuits and Systems 2004
CountrySingapore
Period1/12/043/12/04

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    Jing, M., Sanei, S., & Sumich, A. (2005). An automatic detection and localization of P300 sub-components using ICA. In IEEE International Workshop on Biomedical Circuits and Systems 2004 IEEE. https://doi.org/10.1109/BIOCAS.2004.1454167