Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

[摘要] A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal-to-noise ratio. To evaluate the performance of the proposed method, real BW signals are added to synthetic and clinical electrocardiogram (ECG) signals. It is shown that presented methodology has significant scope of removing BW noise in real world ECG signals.

[学科分类] 肠胃与肝脏病学

[关键词] electrocardiography;medical signal processing;signal denoising;Hilbert transforms;baseline wander removal;electrocardiogram signals;multivariate empirical mode decomposition;Hilbert vibration decomposition;correlation coefficient criterion;signal-to-noise ratio;ECG