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Investigation of vision impairments using pattern reversal VEPs and extreme learning machine

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...

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Main Authors: Vijean, Vikneswaran, Hariharan, Muthusamy, Sazali, Yaacob, Prof. Dr.
Other Authors: vicky.86max@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Visually evoked potential
Vision impairment
Wavelet
Statistical features
ELM
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30464
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spelling my.unimap-304642013-12-12T03:36:35Z Investigation of vision impairments using pattern reversal VEPs and extreme learning machine Vijean, Vikneswaran Hariharan, Muthusamy Sazali, Yaacob, Prof. Dr. vicky.86max@gmail.com hari@unimap.edu.my Visually evoked potential Vision impairment Wavelet Statistical features ELM The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital lobe while the subject is presented with a pattern reversal checkerboard stimulus. The ophthalmologist is able to determine the abnormalities in visual pathways of a person by investigating these responses. The existing method however, is centered on the detection of amplitude and latency values of the signals. The ensemble averaging technique used to extract these information‟s would result in the variation between the single trials to be lost. The long period of testing and averaging could also result in patients fatigue and compromise the accuracy of the diagnosis. Hence, the analysis of single trial VEPs using wavelet transform is investigated in this paper. Biortogonal spline wavelets are applied to the VEP signals, and statistical features are extracted from the reconstructed signal for the classification. Extreme learning machine is used to distinguish the vision impairments and 92.87% accuracy is achieved using the proposed method. 2013-12-12T03:36:35Z 2013-12-12T03:36:35Z 2012-06-18 Working Paper p. 774-779 978-967-5760-11-2 http://hdl.handle.net/123456789/30464 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Visually evoked potential
Vision impairment
Wavelet
Statistical features
ELM
spellingShingle Visually evoked potential
Vision impairment
Wavelet
Statistical features
ELM
Vijean, Vikneswaran
Hariharan, Muthusamy
Sazali, Yaacob, Prof. Dr.
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 vicky.86max@gmail.com
author_facet vicky.86max@gmail.com
Vijean, Vikneswaran
Hariharan, Muthusamy
Sazali, Yaacob, Prof. Dr.
format Working Paper
author Vijean, Vikneswaran
Hariharan, Muthusamy
Sazali, Yaacob, Prof. Dr.
author_sort Vijean, Vikneswaran
title Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
title_short Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
title_full Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
title_fullStr Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
title_full_unstemmed Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
title_sort investigation of vision impairments using pattern reversal veps and extreme learning machine
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30464
_version_ 1643795620481204224
score 13.222552

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