Multi-lead model-based ECG signal denoising by guided filter

doi:10.1016/j.engappai.2018.12.004

	Multi-lead model-based ECG signal denoising by guided filter
	Hao, Huaqing 1; Liu, Ming 1; Xiong, Peng 1; Du, Haiman 1; Zhang, Hong 2; Lin, Feng 3; Hou, Zengguang4 ; Liu, Xiuling 1
发表期刊	ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
ISSN	0952-1976
	2019-03-01
卷号	79 页码:34-44
通讯作者	Liu, Xiuling(liuxiuling121@hotmail.com)
摘要	The electrocardiogram (ECG) denoising is of paramount importance for accurate disease diagnosis, but individual differences bring great difficulties for ECG denoising, especially for Dynamic Electrocardiography (DCG). In this paper, a multi-lead model-based ECG signal denoising method is proposed, in which a guided filter is inherently adapted to denoise ECG signal. For each person, a patient-specific statistical model will be constructed by sparse autoencoder (SAE) which can effectively preserve the detailed signal features. Thus, the guided signal producing by the statistical model can perform well in the guided filter. Especially, even the sudden morphological changes, the denoised ECG signals can still be conserved. The results on the 12-lead Arrhythmia Database and the MIT-BIH Arrhythmia Database demonstrate that the signal-to-noise ratio (SNR) improvement of the proposed method can reach as high as 21.54 dB, and the mean squared error (MSE) is less than 0.0401. Besides achievement of minimum signal distortion in comparisons with the major of the current denoising algorithms for complex noise environment, the proposed method demonstrate robustness in the complex interferences, especially in tracing the sudden morphological changes of ECG signals. Due to the remarkable superiority in preserving diagnostic and detail features of ECG signals, the proposed method can handle ECG signals with abnormal heart beats, and then can improve the accuracy detection of the disease.
关键词	Electrocardiograph (ECG) denoising Multi-lead model-based ECG signal Guided filter Sparse autoencoder
DOI	10.1016/j.engappai.2018.12.004
关键词[WOS]	CARDIOVASCULAR-DISEASE ; DECOMPOSITION ; ALGORITHM ; FACE
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[61703133] ; National Natural Science Foundation of China[61473112] ; Natural Science Foundation of Hebei Province, China[F2016201186] ; Natural Science Foundation of Hebei Province, China[F2017201222] ; Natural Science Foundation of Hebei Province, China[F2018201070] ; National Natural Science Foundation of China[61673158] ; National Natural Science Foundation of China[61703133] ; National Natural Science Foundation of China[61473112] ; Natural Science Foundation of Hebei Province, China[F2016201186] ; Natural Science Foundation of Hebei Province, China[F2017201222] ; Natural Science Foundation of Hebei Province, China[F2018201070]
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Hebei Province, China
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Multidisciplinary ; Engineering, Electrical & Electronic
WOS记录号	WOS:000459524300004
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：21[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/173211/25035
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, Key Lab Digital Med Engn Hebei Prov, Coll Elect & Informat Engn, Baoding, Peoples R China 2.Hebei Univ, Affiliated Hosp, Baoding, Peoples R China 3.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore 4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Hao, Huaqing,Liu, Ming,Xiong, Peng,et al. Multi-lead model-based ECG signal denoising by guided filter[J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2019,79:34-44.
APA	Hao, Huaqing.,Liu, Ming.,Xiong, Peng.,Du, Haiman.,Zhang, Hong.,...&Liu, Xiuling.(2019).Multi-lead model-based ECG signal denoising by guided filter.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,79,34-44.
MLA	Hao, Huaqing,et al."Multi-lead model-based ECG signal denoising by guided filter".ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 79(2019):34-44.