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.
|Title of host publication||IEEE International Workshop on Biomedical Circuits and Systems 2004|
|Publication status||Published - 27 Jun 2005|
|Event|| IEEE International Workshop on Biomedical Circuits and Systems 2004 - , Singapore|
Duration: 1 Dec 2004 → 3 Dec 2004
|Conference||IEEE International Workshop on Biomedical Circuits and Systems 2004|
|Period||1/12/04 → 3/12/04|
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