| Sparse representation-based ECG signal enhancement and QRS detection | |
Zhou, Yichao1,2; Hu, Xiyuan2 ; Tang, Zhenmin1; Ahn, Andrew C.3,4
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| 发表期刊 | PHYSIOLOGICAL MEASUREMENT
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| 2016-12-01 | |
| 卷号 | 37期号:12页码:2093-2110 |
| 文章类型 | Article |
| 摘要 | Electrocardiogram (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. |
| 关键词 | Ecg Enhancement Qrs Complex Detection Sparse Representation Dictionary Learning |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
| DOI | 10.1088/0967-3334/37/12/2093 |
| 关键词[WOS] | EMPIRICAL MODE DECOMPOSITION ; COMPLEX DETECTION ; SHANNON ENERGY ; ALGORITHM ; ENVELOPE |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | National Natural Science Foundation of China(61571438) ; Institute for Integrative Health |
| WOS研究方向 | Biophysics ; Engineering ; Physiology |
| WOS类目 | Biophysics ; Engineering, Biomedical ; Physiology |
| WOS记录号 | WOS:000387900700001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/13344 |
| 专题 | 智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队 |
| 作者单位 | 1.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 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 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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| sparse ecg and qrs.p（1004KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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