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
发表期刊	JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
ISSN	1609-0985
	2018-12-01
卷号	38 期号:6 页码:980-992
通讯作者	Liu, Xiuling(liuxiuling121@hotmail.com)
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.
关键词	Telemedicine Electrocardiogram signal enhancement Butterworth high-pass filter Guided filter
DOI	10.1007/s40846-017-0350-1
关键词[WOS]	NOISE-REDUCTION
收录类别	SCI
语种	英语
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] ; 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]
项目资助者	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
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical
WOS记录号	WOS:000450528300013
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25730
专题	复杂系统认知与决策实验室_先进机器人
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.