Sigmoidal radial basis function ANN for QRS complex detection
A QRS complex detector is developed based on whitening and matched filtering schemes. A whitening filter constructed around a nonlinear adaptive SRBF-based predictor is used as a pre-processing step. The predictor weights are trained using LS algorithm with M-estimator based robust objective function by in-situ manner. New centering technique and an adaptive filter window length are used to optimize the whitening filter. Comparatives studies performed showed the advantages of the sigmoidal RBF-based whitening filter.
radial basis function qrs complex whitening filter robust objective function nonlinear adaptive predictor