A Fast and Simple Adaptive Bionic Wavelet Transform: ECG Baseline Shift Correction

Autor:	Wang Ludi, Zhou Xiaoguang, Xing Ying, Liang Siqi
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	baseline shift bionic wavelet transform (bwt) fast algorithm mit-bih Cybernetics Q300-390
Zdroj:	Cybernetics and Information Technologies, Vol 16, Iss 6, Pp 60-68 (2016)
Druh dokumentu:	article
ISSN:	1314-4081 78259452
DOI:	10.1515/cait-2016-0077
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/0fc7428dfcd44ef78259452d4473724f Zobrazit plný text záznamu View record in DOAJ