Two level PCA to reduce noise and EEG from evoked potential signals

Palaniappan, Ramaswamy, Anandan, S., Raveendran, P. (2002) Two level PCA to reduce noise and EEG from evoked potential signals. In: Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002. . pp. 1688-1693. IEEE ISBN 981-04-8364-3. (doi:10.1109/ICARCV.2002.1235029) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:70762)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1109/ICARCV.2002.1235029

Abstract

Two common artifacts that corrupt evoked responses are noise and background electroencephalogram (EEG). In this paper, a two-level principal component analysis (PCA) is used to reduce these artifacts from single trial evoked responses. The first level PCA is applied to reduce noise from these VEP signals while the second level PCA reduces EEG. The method is used to analyse the object recognition and decision-making capability during visual responses. The analysis is extended to study the differences in visual response between alcoholics and non-alcoholics using single trial P3 visual evoked potential (VEP) signals. The analysis shows that alcoholics respond slower and weaker to visual stimulus as compared to non-alcoholics.

Item Type:	Conference or workshop item (Proceeding)
DOI/Identification number:	10.1109/ICARCV.2002.1235029
Additional information:	Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Proc. Int. Conf. Control Autom. Rob. Vis. [Field not mapped to EPrints] AD - Fac. of Info. Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia [Field not mapped to EPrints] AD - Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - NTU School of Electrical and Electronic Engineering; IE Singapore; IEEE Singapore Section [Field not mapped to EPrints] C3 - Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 [Field not mapped to EPrints]
Uncontrolled keywords:	Decision making, Electroencephalography, Information analysis, Neurology, Object recognition, Principal component analysis, Signal detection, Signal distortion, Vision, Acoustic noise, Alcohols, Contamination, Embedded systems, Signaling, Digital filtering, Evoked potential (EP), Pictorial representation, Visual evoked potential (VEP) signals, Alcoholics, Potential signals, Visual evoked potential (VEP), Noise abatement, Electroencephalography
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Palaniappan Ramaswamy
Date Deposited:	15 Dec 2018 20:07 UTC
Last Modified:	16 Nov 2021 10:25 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/70762 (The current URI for this page, for reference purposes)

University of Kent Author Information

Palaniappan, Ramaswamy.

Creator's ORCID:	https://orcid.org/0000-0001-5296-8396
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