Informatics Publishing Limited

R. Kalaivaazhi ¹, D. Kumar ²

Affiliations
1 Department of Information Technology, Anjalai Ammal Mahalingam Engineering College, Anna University, Tamilnadu, IN
2 Periyar Maniyammai University, Vallam, Thanjavur (DT), Tamilnadu, IN

Abstract

To evaluate the effectiveness and clinical significance of pattern visual evoked potential (P-VEP) as a predictor of occlusion therapy for patients with strabismus and amblyopic (squint eye). In this research work, we explored to find the optimal electrode channel for pattern visual evoked potential (P-VEP) in monitoring the effectiveness of occlusion therapy of squint eyes without compromising on the efficiency. These Pattern Visual Evoked Potential (P-VEP) signals were recorded with the P100 features extracted in single trials using a Check board pattern based BCI paradigm. The benefits of choosing the best scalp electrode combination are essential to every single trial BCI. The experimental evaluations were done using different electrode configurations against the configuration that is selected with the aid of Genetic Algorithm. The performances of these configurations were calculated using their ability to do the correct matching and rejection percentages. The recommendations for optimal electrode channels are given with valid performance evaluations. Therefore, it is proposed that for future experiments, the GA based selection of optimal channels could be considered for applications that involve in monitoring the effectiveness of occlusion therapy for squint eyes.

Keywords

P-VEP Signals, P100 Latency, Single Trial, Genetic Algorithm, Brain Computer Interface.

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