Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement

doi:10.1007/s40846-017-0350-1

	Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement
	Liu, Ming 1; Hao, HuaQing 1; Xiong, Peng 1; Lin, Feng 2; Hou, ZengGuang3 ; Liu, Xiuling 1
刊名	JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
	2018-12-01
卷号	38 期号:6 页码:980-992
关键词	Telemedicine Electrocardiogram signal enhancement Butterworth high-pass filter Guided filter
ISSN号	1609-0985
DOI	10.1007/s40846-017-0350-1
通讯作者	Liu, Xiuling(liuxiuling121@hotmail.com)
英文摘要	Electrocardiogram (ECG) signal enhancement is necessary in telemedicine. In such ECG monitoring systems, noises like muscle artifacts, electrode motion and baseline wander are often embedded in the ECG signals during acquisition and transmission. In this study, a novel method is proposed for the ECG signal enhancement based on the finding that ECG signals extracted over a big data share significant similarities in the morphology for a particular person. We construct a guided filter and reform it by a Butterworth high-pass filter. The Butterworth high-pass filter is utilized to remove the baseline wander. The advantageous edge-preserving guided filter is then applied to remove the rest noise, of which frequencies are between the ECG signals. Very promising results with high accuracy and the edge-preserving features have been achieved in the comparative experiments. We evaluated the proposed denoising method using ECG signals from the MIT-BIH Arrhythmia database and the Noise Stress Test database. The experimental results demonstrate that the proposed method achieves better signal-to-noise ratio (SNR) and lower root mean square error (RMSE) when compared to the wavelet with subband dependent thresholding (WT-Subband), Back Propagation Neural Network and Stockwell transform methods. Using the proposed method, the average output SNR ranges from 8.57 to 19.28dB, and the average RMSE is less than 0.41.
资助项目	National Natural Science Foundation of China[61673158] ; National Natural Science Foundation of China[61473112] ; Foundation for Distinguished Young Scholars of Hebei Province[F2016201186] ; Natural Science Foundation of Hebei Province[F2015201112] ; Science and Technology Research Project for Universities and Colleges in Hebei Province[ZD2015067]
WOS关键词	NOISE-REDUCTION
WOS研究方向	Engineering
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000450528300013
资助机构	National Natural Science Foundation of China ; Foundation for Distinguished Young Scholars of Hebei Province ; Natural Science Foundation of Hebei Province ; Science and Technology Research Project for Universities and Colleges in Hebei Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25729]
专题	中国科学院自动化研究所
通讯作者	Liu, Xiuling
作者单位	1.Hebei Univ, Coll Elect & Informat Engn, Key Lab Digital Med Engn Hebei Prov, Baoding 071002, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Liu, Ming,Hao, HuaQing,Xiong, Peng,et al. Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement[J]. JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING,2018,38(6):980-992.
APA	Liu, Ming,Hao, HuaQing,Xiong, Peng,Lin, Feng,Hou, ZengGuang,&Liu, Xiuling.(2018).Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement.JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING,38(6),980-992.
MLA	Liu, Ming,et al."Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement".JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING 38.6(2018):980-992.