Title :
Accurate Removal of Baseline Wander in ECG Using Empirical Mode Decomposition
Author :
Pan, Na ; Vai Mang I ; Un, Mai Peng ; Pun Sio hang
Author_Institution :
Univ. of Macau, Macau
Abstract :
The removal of baseline wander (BW) is a very important step in the pre-processing stage of electrocardiogram (ECG). Thus, a method for accurate removing the baseline wander (BW) in ECG on the basis of empirical mode decomposition (EMD) is proposed in this paper. We briefly described the principles and characteristics of the EMD in Section II. To validate the proposed method, the recording from MIT/BIH database is used. In this paper, the traditional median filter is also applied to remove BW in ECG for comparison with our EMD method. Our experimental results show that the performance of EMD method is very good and accurate in removing BW in ECG.
Keywords :
electrocardiography; medical signal processing; ECG; empirical mode decomposition; pre-processing stage; traditional median filter; Adaptive filters; Biomedical engineering; Biomedical measurements; Databases; Electrocardiography; Filtering; Finite impulse response filter; Frequency; Signal analysis; Spline;
Conference_Titel :
Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007. Joint Meeting of the 6th International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-0949-5
Electronic_ISBN :
978-1-4244-0949-5
DOI :
10.1109/NFSI-ICFBI.2007.4387719