Knowledge Commons of Institute of Automation,CAS
InterPatient ECG Classification with Symbolic Representations and MultiPerspective Convolutional Neural Networks | |
Niu, Jinghao1,2; Tang, Yongqiang1,2; Sun, Zhengya1,2; Zhang, Wensheng1,2 | |
发表期刊 | IEEE Journal of Biomedical and Health Informatics |
2020 | |
卷号 | 24期号:5页码:1321-1332 |
摘要 | This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) heartbeat classification. A symbolization approach especially designed for ECG is introduced, which can jointly represent the morphology and rhythm of the heartbeat and alleviate the influence of inter-patient variation through baseline correction. The symbolic representation of the heartbeat is used by a multi-perspective convolutional neural network (MPCNN) to learn features automatically and classify the heartbeat. We evaluate our method for the detection of the supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB) on MIT-BIH arrhythmia dataset. Compared with the state-of-the-art methods based on manual features or deep learning models, our method shows superior performance: the overall accuracy of 96.4%, F1 scores for SVEB and VEB of 76.6% and 89.7%, respectively. The ablation study on our method validates the effectiveness of the proposed symbolization approach and joint representation architecture, which can help the deep learning model to learn more general features and improve the ability of generalization for unseen patients. Because our method achieves a competitive inter-patient heartbeat classification performance without complex handcrafted features or the intervention of the human expert, it can also be adjusted to handle various other tasks relative to ECG classification. |
关键词 | Ecg Classification Convolutional Neural Network Deep Learning Biomedical Monitoring |
收录类别 | SCI |
语种 | 英语 |
七大方向——子方向分类 | 人工智能+医疗 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/38552 |
专题 | 多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队 精密感知与控制研究中心 |
通讯作者 | Zhang, Wensheng |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Niu, Jinghao,Tang, Yongqiang,Sun, Zhengya,et al. InterPatient ECG Classification with Symbolic Representations and MultiPerspective Convolutional Neural Networks[J]. IEEE Journal of Biomedical and Health Informatics,2020,24(5):1321-1332. |
APA | Niu, Jinghao,Tang, Yongqiang,Sun, Zhengya,&Zhang, Wensheng.(2020).InterPatient ECG Classification with Symbolic Representations and MultiPerspective Convolutional Neural Networks.IEEE Journal of Biomedical and Health Informatics,24(5),1321-1332. |
MLA | Niu, Jinghao,et al."InterPatient ECG Classification with Symbolic Representations and MultiPerspective Convolutional Neural Networks".IEEE Journal of Biomedical and Health Informatics 24.5(2020):1321-1332. |
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