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Patient-specific ECG classification by deeper CNN from generic to dedicated
Li, Yazhao1; Pang, Yanwei1; Wang, Jian1; Li, Xuelong2
作者部门光学影像学习与分析中心
2018-11-07
发表期刊NEUROCOMPUTING
ISSN0925-2312;1879-2545
卷号314页码:336-346
产权排序2
摘要This paper presents a new mechanism which is more effective for wearable devices to classify patient-specific electrocardiogram (ECG) heartbeats. In our method, a Generic Convolutional Neural Network (GCNN) is trained first using a large number of heartbeats without distinguishing patients. Based on the GCNN, fine-tuning technique is applied to modify the GCNN to a Tuned Dedicated CNN (TDCNN) for the corresponding individual. Notably, only the GCNN instead of common training data is required to be stored into wearable devices. Moreover, only fine-tuning with several seconds rather than dozens of minutes is needed before the TDCNN is used to monitor the long-term ECG signals in clinical. To accelerate the ECG classification, only the original ECG heartbeat is input to the CNN without other extended information from the neighbor heartbeats or FFT representation. A deeper CNN architecture with small-scale convolutional kernels is adopted to improve the speed and accuracy for classification. With deeper CNN, hierarchical features can be extracted to help improve the accuracy of ECG classification. The state-of-the-art performance on efficiency and accuracy for ECG classification over MIT-BIH dataset is achieved by the proposed method. The effectiveness and superiority for detecting ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB) events are demonstrated. The proposed mechanism of fine-tuning the GCNN to TDCNN improves the efficiency for training patient-specific CNN classifier. Because of the computational efficiency of fine-tuning, ECG diagnosis and heart monitoring can be easily implemented with popular wearable devices in practice. (C) 2018 Elsevier B.V. All rights reserved.
关键词Ecg Classification Deep Convolutional Neural Networks (Cnn) Generic Cnn (gCnn) Tuned Dedicated Cnn (tdCnn) Heart Monitoring Wearable Devices
DOI10.1016/j.neucom.2018.06.068
收录类别SCI
语种英语
WOS记录号WOS:000443718400033
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30617
专题光学影像学习与分析中心
通讯作者Pang, Yanwei
作者单位1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Li, Yazhao,Pang, Yanwei,Wang, Jian,et al. Patient-specific ECG classification by deeper CNN from generic to dedicated[J]. NEUROCOMPUTING,2018,314:336-346.
APA Li, Yazhao,Pang, Yanwei,Wang, Jian,&Li, Xuelong.(2018).Patient-specific ECG classification by deeper CNN from generic to dedicated.NEUROCOMPUTING,314,336-346.
MLA Li, Yazhao,et al."Patient-specific ECG classification by deeper CNN from generic to dedicated".NEUROCOMPUTING 314(2018):336-346.
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