A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction
, , und | 25. Jan. 2017
Cybernetics and Information Technologies
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016
Online veröffentlicht: 25. Jan. 2017
Seitenbereich: 60 - 68
DOI: https://doi.org/10.1515/cait-2016-0077
Schlüsselwörter
© 2016 Ludi Wang et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
An ECG baseline shift correction method is presented on the base of the adaptive bionic wavelet transform. After modifying the bionic wavelet transform according to the characteristics of the ECG signal, we propose a novel adaptive BWT algorithm. Using the contaminated and actual data in the MIT-BIH database, the method of fast and simple adaptive bionic wavelet transform can effectively correct the baseline shift under the premise of maintaining the geometric characteristics of the ECG signal. Evaluation of the proposed method shows that the average improvement SNR of FABWT is 2.187 dB more than the CWT-based best case result.