Abstract:This paper proposes a digital filter based on wavelet transform and performs an investigation to find an appropriate wavelet function for filtering epileptiform events in EEG signals using the wavelet multiresolution analysis. We investigated five known families of wavelet functions (Coiflets, Daubechies, Symlets, Biorthogonal and Reverse Biorthogonal), totaling 65 functions. In the experiments were used 600 epileptiform events, covering frequencies between 5-25 Hz (40-200ms). The experiments consisted in comp… Show more
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