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

Min Jing; Saeid Sanei; Alexander Sumich

doi:10.1109/BIOCAS.2004.1454167

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

Min Jing, Saeid Sanei, Alexander Sumich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	IEEE International Workshop on Biomedical Circuits and Systems 2004
Publisher	IEEE
DOIs	https://doi.org/10.1109/BIOCAS.2004.1454167
Publication status	Published (in print/issue) - 27 Jun 2005
Event	IEEE International Workshop on Biomedical Circuits and Systems 2004 - , Singapore Duration: 1 Dec 2004 → 3 Dec 2004

Conference

Conference	IEEE International Workshop on Biomedical Circuits and Systems 2004
Country/Territory	Singapore
Period	1/12/04 → 3/12/04

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10.1109/BIOCAS.2004.1454167

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1454167

Cite this

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title = "An automatic detection and localization of P300 sub-components using ICA",

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.",

author = "Min Jing and Saeid Sanei and Alexander Sumich",

year = "2005",

month = jun,

day = "27",

doi = "10.1109/BIOCAS.2004.1454167",

language = "English",

booktitle = "IEEE International Workshop on Biomedical Circuits and Systems 2004",

publisher = "IEEE",

address = "United States",

note = " IEEE International Workshop on Biomedical Circuits and Systems 2004 ; Conference date: 01-12-2004 Through 03-12-2004",

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T1 - An automatic detection and localization of P300 sub-components using ICA

AU - Jing, Min

AU - Sanei, Saeid

AU - Sumich, Alexander

PY - 2005/6/27

Y1 - 2005/6/27

N2 - 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.

AB - 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.

U2 - 10.1109/BIOCAS.2004.1454167

DO - 10.1109/BIOCAS.2004.1454167

M3 - Conference contribution

BT - IEEE International Workshop on Biomedical Circuits and Systems 2004

PB - IEEE

T2 - IEEE International Workshop on Biomedical Circuits and Systems 2004

Y2 - 1 December 2004 through 3 December 2004

ER -

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

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