Removal Of Baseline Wandering In Ecg Signals Using Singular Value Decomposition

摘要

The electrocardiogram (ECG) is an important tool for primary diagnosis of heart diseases. In the course of collecting ECG signal data, baseline drift, electromyography interference, and 50 /60 Hz power line interference will be introduced inevitably. These artifacts severely limit the utility of recorded ECG and thus need to be removal of these noises, for better clinical evaluation. Among these artifacts, the baseline drift is a typical low-frequency noise that distorts the susceptible ST segment. To remove baseline drift from the ECG signals, the Singular Value Decomposition (SVD) method is proposed. With the principle of SVD, by modification of singular values, noise can be removed from the signal.