Filtering mfVEP signals using Wiener filter
Miguel Ortiz del Castillo, Luis de Santiago, Fernández A., J.R. García-Luque, Sánchez-Morla E.M., Luciano Boquete · Studies in health technology and informatics · 2014
The multifocal visual-evoked-potential (mfVEP) signals are filtered using the Wiener filter combined with a Fast Fourier Transform and their signal-to-noise ratios are compared against those of unfiltered signals (RAW data) and those of signals filtered using the traditional method (FFT data). The Wiener filter improves the original signals' SNR by 37.49%, while the FFT improves the SNR by 20.41%. This gain is achieved by selecting the best channel in each sector of the visual field. In conclusion, filtering using the Wienerś method improves the quality of mfVEP signal pre-processing when compared against the original signals, or against filtering using the FFT.