A Deep Learning Method for Heartbeat Detection in ECG Image | |
Zewen He1,2; Jinghao Niu1,2; Junhong Ren1; Yajun Shi3; Wensheng Zhang1,2 | |
2019 | |
会议日期 | 2019年9月20-22日 |
会议地点 | 江苏大学 |
英文摘要 | Although heartbeat segmentation can be done very well in ECG signals for arrhythmia detecting, there’re short of techniques for detecting heartbeat part from ECG images. We apply the powerful Faster R-CNN detector here, and achieves accurate detecting results. Along with the improved patch sampling mechanism in training, detection results are more precise. The high evaluation metric on validation data and demo of real scenes demonstrate the effectiveness of our method. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/45003] |
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 | Wensheng Zhang |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Department of Cardiology, Chinese PLA General Hospital, Beijing, China |
推荐引用方式 GB/T 7714 | Zewen He,Jinghao Niu,Junhong Ren,et al. A Deep Learning Method for Heartbeat Detection in ECG Image[C]. 见:. 江苏大学. 2019年9月20-22日. |
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