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Sparse representation-based ECG signal enhancement and QRS detection
Zhou, Yichao1,2; Hu, Xiyuan2; Tang, Zhenmin1; Ahn, Andrew C.3,4
Source PublicationPHYSIOLOGICAL MEASUREMENT
2016-12-01
Volume37Issue:12Pages:2093-2110
SubtypeArticle
AbstractElectrocardiogram (ECG) signal enhancement and QRS complex detection is a critical preprocessing step for further heart disease analysis and diagnosis. In this paper, we propose a sparse representation-based ECG signal enhancement and QRS complex detection algorithm. Unlike traditional Fourier or wavelet transform-based methods, which use fixed bases, the proposed algorithm models the ECG signal as the superposition of a few inner structures plus additive random noise, where these structures (referred to here as atoms) can be learned from the input signal or a training set. Using these atoms and their properties, we can accurately approximate the original ECG signal and remove the noise and other artifacts such as baseline wandering. Additionally, some of the atoms with larger kurtosis values can be modified and used as an indication function to detect and locate the QRS complexes in the enhanced ECG signals. To demonstrate the robustness and efficacy of the proposed algorithm, we compare it with several state-of-the-art ECG enhancement and QRS detection algorithms using both simulated and real-life ECG recordings.
KeywordEcg Enhancement Qrs Complex Detection Sparse Representation Dictionary Learning
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1088/0967-3334/37/12/2093
WOS KeywordEMPIRICAL MODE DECOMPOSITION ; COMPLEX DETECTION ; SHANNON ENERGY ; ALGORITHM ; ENVELOPE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61571438) ; Institute for Integrative Health
WOS Research AreaBiophysics ; Engineering ; Physiology
WOS SubjectBiophysics ; Engineering, Biomedical ; Physiology
WOS IDWOS:000387900700001
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13344
Collection智能制造技术与系统研究中心_多维数据分析
Affiliation1.Nanjing Univ Sci & Technol, Sch Comp Sci, Nanjing 210094, Jiangsu, Peoples R China
2.Chinese Acad Sci, Inst Automat, High Technol Innovat Ctr HITIC, Beijing 100190, Peoples R China
3.Harvard Med Sch, Beth Israel Deaconess Med Ctr, Boston, MA 02215 USA
4.Harvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02215 USA
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhou, Yichao,Hu, Xiyuan,Tang, Zhenmin,et al. Sparse representation-based ECG signal enhancement and QRS detection[J]. PHYSIOLOGICAL MEASUREMENT,2016,37(12):2093-2110.
APA Zhou, Yichao,Hu, Xiyuan,Tang, Zhenmin,&Ahn, Andrew C..(2016).Sparse representation-based ECG signal enhancement and QRS detection.PHYSIOLOGICAL MEASUREMENT,37(12),2093-2110.
MLA Zhou, Yichao,et al."Sparse representation-based ECG signal enhancement and QRS detection".PHYSIOLOGICAL MEASUREMENT 37.12(2016):2093-2110.
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