An application of robust kernel-based filtering of biomedical signals

Abstract

Noises which appear during recording of biomedical signals are seldom characterized by the ideal Gaussian model, because noises can have an impulsive nature. In this work the robust filter is introduced on the base of the Gaussian radial basis function. For that purpose the distance measure in the feature space is defined. Minimizing of this distance measure allows to estimate output value in a moving window filter. Presented filter was applied to suppress muscle noise in ECG signal. Some properties of presented filter are also shown. The experiments performed show that introduced filter is effective in suppression of noise of biomedical signals. © 2008 Springer-Verlag Berlin Heidelberg.