Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition
文献类型：期刊论文
| 作者 | Zhang, Jieshuo4; Liu, Ming4 ; Xiong, Peng4; Du, Haiman4; Zhang, Hong3; Sun, Guoming2; Hou, Zengguang1; Liu, Xiuling4
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| 刊名 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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| 出版日期 | 2022 |
| 卷号 | 71页码:15 |
| 关键词 | Electrocardiography Feature extraction Tensors Data mining Location awareness Lead Heart beat Electrocardiograph image-based heartbeat tensor morphological core tensor myocardial infarction (MI) Tucker2 decomposition |
| ISSN号 | 0018-9456 |
| DOI | 10.1109/TIM.2021.3104394 |
| 通讯作者 | Zhang, Jieshuo(zhangjieshuo@126.com) |
| 英文摘要 | Myocardial infarction (MI) causes rapid and permanent damage to the heart muscle. Without timely diagnosis and treatment, it will deteriorate the myocardial structure and function. The precise localization of MI based on 12-lead electrocardiogram (ECG) signals still remains a great challenge. We, thus, present a novel algorithm for automatically localizing MI from multilead ECG signals. The image-based heartbeat tensorization establishes a third-order lead x time x amplitude tensor structure. This image tensor encompasses key information between leads and the correlation within the heartbeat, which are essential for the MI diagnosis. The Tucker2 decomposition-based feature extractor automatically extracts the morphological core tensor of the image tensor. The morphological core tensor includes crucial information among three dimensions. Localization of MI is evaluated as a multiclass problem. We use the bagged decision tree for multiclass classification. The 12-lead ECG signals from the benchmark Physikalisch-Technische Bundesanstalt (PTB) database are employed to verify the applicability of the proposed algorithm. The PTB database includes normal ECG, 11 types of MI: anterior, anterior lateral, anterior septal, anterior septal lateral, inferior, inferior lateral, inferior posterior, inferior posterior lateral, lateral, posterior, and posterior lateral. We demonstrated, with the morphological core features obtained from the image tensor, that 12 categories of ECG signals achieved a total accuracy of 99.67% and an F1 score of 0.9997. The area under the receiver operating characteristic curves and precision-recall curves of each kind of ECG signal has been found to be more than 0.88. The proposed algorithm effectively realizes the classification of normal ECG and 11 categories of MI, and our approach of using a 12-lead ECG signal herein holds great promise for helping the cardiologists localize MI. |
| WOS关键词 | CONVOLUTIONAL NEURAL-NETWORK ; ALTERNATING LEAST-SQUARES ; CLASSIFICATION ; PATTERN ; ENERGY |
| 资助项目 | National Natural Science Foundation of China[61673158] ; National Natural Science Foundation of China[61703133] ; Natural Science Foundation of Hebei Province[F2018201070] ; Youth Talent Support Program of Hebei Province[BJ2019044] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000761251000104 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Hebei Province ; Youth Talent Support Program of Hebei Province |
| 源URL | [http://ir.ia.ac.cn/handle/173211/48008]  |
| 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 | Zhang, Jieshuo |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Hebei Univ, Inst Life Sci & Green Dev, Affiliated Hosp, Coll Chem & Environm Sci, Baoding 071002, Peoples R China 3.Hebei Univ, Affiliated Hosp, Baoding 071002, Peoples R China 4.Hebei Univ, Coll Phys Sci & Technol, Key Lab Digital Med Engn Hebei Prov, Baoding 071002, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jieshuo,Liu, Ming,Xiong, Peng,et al. Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,71:15. |
| APA | Zhang, Jieshuo.,Liu, Ming.,Xiong, Peng.,Du, Haiman.,Zhang, Hong.,...&Liu, Xiuling.(2022).Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,71,15. |
| MLA | Zhang, Jieshuo,et al."Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 71(2022):15. |
入库方式： OAI收割
来源：自动化研究所
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