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dc.contributor.authorVijean, Vikneswaran
dc.contributor.authorHariharan, Muthusamy, Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.date.accessioned2014-05-08T06:32:27Z
dc.date.available2014-05-08T06:32:27Z
dc.date.issued2011-11
dc.identifier.citationp. 182-186en_US
dc.identifier.isbn978-1-4577-1640-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6190519&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6190519
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34368
dc.descriptionProceeding of The International Conference on Control System, Computing and Engineering (ICCSCE 2011) at Penang, Malaysia on 25 November 2011 through 27 November 2011en_US
dc.description.abstractAnalysis of Visually evoked potential (VEP) in the investigation of ocular diseases is gaining interests from researchers all over the world. VEP is an electrical signal generated by the brain (Occipital Cortex) in response to a visual stimulus. By analyzing these responses, the abnormalities in the visual pathways in a person can be detected. Traditionally, the amplitude and the latency values were considered for the analysis. This study is intended to investigate the frequency domain based features of single trial VEPs in discriminating between subjects with normal vision from those having vision impairments. Four different classifiers, Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), k Nearest Neighbor (kNN) and the Support Vector Machine (SVM) are used for the investigation. The proposed method shows promising results for the discrimination of vision impairments.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.relation.ispartofseriesProceeding of The International Conference on Control System, Computing and Engineering 2011 (ICCSCE 2011);
dc.subjectFrequency domain featureen_US
dc.subjectVision impairementen_US
dc.subjectVisually evoked potentialen_US
dc.titleDiscrimination of vision impairments using single trial VEPsen_US
dc.typeWorking Paperen_US
dc.identifier.urlhttp://dx.doi.org/10.1109/ICCSCE.2011.6190519
dc.contributor.urlvicky.86max@gmail.comen_US
dc.contributor.urlhari@unimap.edu.myen_US
dc.contributor.urls.yaacob@unimap.edu.myen_US


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