Orthogonal and biorthogonal wavelet analysis of visual evoked potentials

• Main Authors: Hassoney, Ahmed Fadhil, Ismail, Abd. Khamim, Hamza, Hentabli
• Format: Article
• Published: Foundation of Computer Science 2012
• Subjects: Q Science
• Online Access: http://eprints.utm.my/id/eprint/31106/; https://www.ijcaonline.org/archives/volume60/number4/9684-4119
• Institution: Universiti Teknologi Malaysia

In the present work the performance of orthogonal and Biorthogonal wavelet filters were analyzed for visual evoked potentials (VEP) on a variety of noisy signals. The signals were analyzed at different signal to noise ratio (SNR). This research proposed a method for the selection of the best analysis. The proposed method used longest common subsequence (LCS) and basic local alignment search tool (BLAST) to measure the analysis performance objectively and visual quality subjectively of the signal analysis. It was found that orthogonal wavelets outperform the biorthogonal ones in both the criteria especially at high noisy signal.