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Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials

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Main Authors: Vijean, vikneswaran, Hariharan, Muthusamy, Dr., Sazali, Yaacob, Prof. Dr., Mohd Nazri, Sulaiman, Abdul Hamid, Adom, Prof. Dr.
Other Authors: v.vikneswaran@ieee.org
Format: Article
Language:English
Published: Elsevier Ltd. 2014
Subjects:
Classification accuracy
Different frequency
Extreme learning machine
Levenberg-Marquardt
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35665
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spelling my.unimap-356652014-06-18T02:27:26Z Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials Vijean, vikneswaran Hariharan, Muthusamy, Dr. Sazali, Yaacob, Prof. Dr. Mohd Nazri, Sulaiman Abdul Hamid, Adom, Prof. Dr. v.vikneswaran@ieee.org hari@unimap.edu.my s.yaacob@unimap.edu.my nazri_sulaiman@hotmail.com abdhamid@unimap.edu.my Classification accuracy Different frequency Extreme learning machine Levenberg-Marquardt Link to publisher's homepage at http://www.elsevier.com/ Visually evoked potentials (VEPs) originate from the occipital cortex and have long been used as a reliable indicator for vision impairments by ophthalmologists. Any abnormalities in the visual pathways of a person can be diagnosed by analyzing these responses. The amplitudes and latency of VEP responses have been traditionally used for the diagnosis of vision impairments. This paper proposes new ways in which to analyze VEP responses by investigating the time and frequency domain characteristics of the signals. The single trial VEP's are decomposed into six different frequency bands; delta, theta, alpha, beta, gamma1 and gamma2, using digital elliptic filters. Statistical features are extracted from the decomposed VEP's and are analyzed using student two tailed t-test and box plot analysis. Levenberg-Marquardt backpropagation neural network (LMBP) and Extreme Learning Machine (ELM) algorithms are employed for the discrimination of vision impairment. The proposed method gives promising classification accuracy ranging from 90.90% to 96.89%. 2014-06-18T02:27:25Z 2014-06-18T02:27:25Z 2013-07 Article Computers and Electrical Engineering, vol. 39(5), 2013, pages 1549-1560 0045-7906 http://www.sciencedirect.com/science/article/pii/S0045790613000025 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35665 en Elsevier Ltd.
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 Classification accuracy
Different frequency
Extreme learning machine
Levenberg-Marquardt
spellingShingle Classification accuracy
Different frequency
Extreme learning machine
Levenberg-Marquardt
Vijean, vikneswaran
Hariharan, Muthusamy, Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Nazri, Sulaiman
Abdul Hamid, Adom, Prof. Dr.
Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
description Link to publisher's homepage at http://www.elsevier.com/
author2 v.vikneswaran@ieee.org
author_facet v.vikneswaran@ieee.org
Vijean, vikneswaran
Hariharan, Muthusamy, Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Nazri, Sulaiman
Abdul Hamid, Adom, Prof. Dr.
format Article
author Vijean, vikneswaran
Hariharan, Muthusamy, Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Nazri, Sulaiman
Abdul Hamid, Adom, Prof. Dr.
author_sort Vijean, vikneswaran
title Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
title_short Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
title_full Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
title_fullStr Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
title_full_unstemmed Objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
title_sort objective investigation of vision impairments using single trial pattern reversal visually evoked potentials
publisher Elsevier Ltd.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35665
_version_ 1643797868401655808
score 13.222552

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