Abstract
Evoked potential (EP) comprises giving stimulus to the subject and record the response of the brain. Here, background noise electroencephalogram (EEG) is to be removed to see the response for the stimulus being given. In this paper, wavelet transform has been used to extract the responses and also to improve the signal to noise ratio (SNR). Wavelet transform averaging technique of estimation improves the SNR by a large amount in almost many sweeps of EP. The two different wavelet transforms such as Daubechies wavelet transform and Biorthogonal wavelet transform have been used to improve the SNR. SNR comparison is made with the conventional ensemble averaging technique. In this paper, Visual Evoked Potential (VEP) signals have been considered for analysis.
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