InterPatient ECG Classification with Symbolic Representations and MultiPerspective Convolutional Neural Networks | |
Niu, Jinghao1,2; Tang, Yongqiang1,2; Sun, Zhengya1,2; Zhang, Wensheng1,2 | |
刊名 | IEEE Journal of Biomedical and Health Informatics |
2020 | |
卷号 | 24期号:5页码:1321-1332 |
关键词 | Ecg Classification Convolutional Neural Network Deep Learning Biomedical Monitoring |
英文摘要 | 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. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/38552] |
专题 | 精密感知与控制研究中心_人工智能与机器学习 |
通讯作者 | Zhang, Wensheng |
作者单位 | 1.University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences |
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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