relation: https://khub.utp.edu.my/scholars/7174/
title: Single trial visual evoked potential extraction using fast PLS
creator: Yanti, D.K.
creator: Yusoff, M.Z.
creator: Bekdash, M.
creator: Asirvadam, V.S.
description: This paper evaluates the single trial extraction of Visual Evoked Potential (VEP) signal. Single trial extraction of VEP contributes in the integration of fMRI-EEG application as well as in the Brain Computer Interface application. The extraction is performed by using the Fast Partial Least Square (PLS) algorithm. The extraction of the desired VEP signals, both in artificial and real Electroencephalography (EEG) signal is quantified. Moreover, the latency or average error rates of P100, P200 and P300 in the artificial signal have been measured. The results illustrate the advantages and drawbacks of the algorithm in the single trial VEP extraction case. © 2015 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Yanti, D.K. and Yusoff, M.Z. and Bekdash, M. and Asirvadam, V.S.  (2016) Single trial visual evoked potential extraction using fast PLS.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971672844&doi=10.1109%2fICSIPA.2015.7412227&partnerID=40&md5=60a7c8a25502d15e60bd13ca0fb5e02c
relation: 10.1109/ICSIPA.2015.7412227
identifier: 10.1109/ICSIPA.2015.7412227