Wavelet based approach for the investigation of vision impairments using single trial VEPs
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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my.unimap-265252013-07-09T05:19:25Z Wavelet based approach for the investigation of vision impairments using single trial VEPs Vijean, Vikneswaran Hariharan, Muthusamy, Dr. Sazali, Yaacob, Prof. Dr. v.vikneswaran@ieee.org hari@unimap.edu.my s.yaacob@unimap.edu.my kNN Statistical features Vision impairement Visually evoked potential Wavelet Link to publisher's homepage at http://ieeexplore.ieee.org/ Visually evoked potential (VEP) is being widely used for the investigation of vision abnormalities. The signals are recorded using non-invasive EEG electrodes from the Occipital Cortex while a subject is presented with a visual stimulus. By analyzing these responses, an ophthalmologist is able to determine the abnormalities in visual pathways of a person. The traditional method of analysis however, is centered on the detection of amplitude and latency values, in which long period of testing and averaging is required. This method could result in patients fatigue and affect the diagnosis accuracy. Hence, the wavelet based approach is investigated for the diagnosis of vision impairments. Biortogonal spline wavelet is used to decompose the VEPs and statistical features are extracted from the reconstructed signal for the analysis. k-Nearest Neighbor (kNN) classifier is employed for discrimination of vision impairments and the proposed method is able to produce 94.93% accuracy. 2013-07-09T05:19:24Z 2013-07-09T05:19:24Z 2012-03-23 Working Paper p. 246-249 978-146730961-5 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6194727 http://hdl.handle.net/123456789/26525 en Proceedings of the International Colloquium on Signal Processing and Its Applications (CSPA 2012) Institute of Electrical and Electronics Engineers (IEEE) |
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Universiti Malaysia Perlis |
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| language |
English |
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kNN Statistical features Vision impairement Visually evoked potential Wavelet |
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kNN Statistical features Vision impairement Visually evoked potential Wavelet Vijean, Vikneswaran Hariharan, Muthusamy, Dr. Sazali, Yaacob, Prof. Dr. Wavelet based approach for the investigation of vision impairments using single trial VEPs |
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Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| author2 |
v.vikneswaran@ieee.org |
| author_facet |
v.vikneswaran@ieee.org Vijean, Vikneswaran Hariharan, Muthusamy, Dr. Sazali, Yaacob, Prof. Dr. |
| format |
Working Paper |
| author |
Vijean, Vikneswaran Hariharan, Muthusamy, Dr. Sazali, Yaacob, Prof. Dr. |
| author_sort |
Vijean, Vikneswaran |
| title |
Wavelet based approach for the investigation of vision impairments using single trial VEPs |
| title_short |
Wavelet based approach for the investigation of vision impairments using single trial VEPs |
| title_full |
Wavelet based approach for the investigation of vision impairments using single trial VEPs |
| title_fullStr |
Wavelet based approach for the investigation of vision impairments using single trial VEPs |
| title_full_unstemmed |
Wavelet based approach for the investigation of vision impairments using single trial VEPs |
| title_sort |
wavelet based approach for the investigation of vision impairments using single trial veps |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/26525 |
| _version_ |
1643794973507715072 |