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|Title: ||Objective analysis of vision impairments using single trial VEPs|
|Authors: ||Muthusamy, Hariharan, Dr.|
Sazali, Yaacob, Prof. Dr.
|Keywords: ||Visually evoked potential (VEP);Vision impairement;Time domain feature|
|Issue Date: ||27-Feb-2012|
|Publisher: ||Institute of Electrical and Electronics Engineers (IEEE)|
|Citation: ||p. 523-526|
|Series/Report no.: ||Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)|
|Abstract: ||Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual
stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, and observed as a reading on an
electroencephalogram (EEG). VEP signal has been widely used for the diagnostics of vision impairments in patients. The main
parameters that were considered for the diagnostics of these diseases are the amplitude and the latency values. This field of study is gaining interest from researches all over the world. In this paper, time domain based features of the VEP is studied in an effort to discriminate normal subjects from those having vision impairments. Three different classifiers, Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and the k Nearest Neighbor (kNN) are used for the investigation. The proposed method shows promising results in
the investigation of vision impairments with accuracy ranging from 69.44% to 100%.|
|Description: ||Link to publisher's homepage at http://ieeexplore.ieee.org/|
|Appears in Collections:||Conference Papers|
Sazali Yaacob, Prof. Dr.
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