Constructing a Guided Filter by Exploiting the Butterworth Filter for ECG Signal Enhancement
文献类型：期刊论文
| 作者 | Liu, Ming1 ; Hao, HuaQing1; Xiong, Peng1; Lin, Feng2; Hou, ZengGuang3; Liu, Xiuling1
|
| 刊名 | JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
 |
| 出版日期 | 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. |
| WOS关键词 | NOISE-REDUCTION |
| 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研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000450528300013 |
| 出版者 | SPRINGER HEIDELBERG |
| 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/25729]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。