An algorithm for estimating baseline wander based on nonlinear signal processing

摘要

In the paper, we present a new method to estimate Baseline Wander from ECG signal. Baseline Wander is a low-frequency noise having non-linear and non-stationary nature. The classical methods such as high-pass filtering cannot provide full separation of the signal from low-frequency noise. In this work, we propose an approach to estimate the Baseline Wander based on piecewise linear estimation and nonlinear smoothing. The general idea is to estimate baseline wander locally using linear models. The proposed approach is experimentally compared with reference methods.