中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Deep Learning Method for Heartbeat Detection in ECG Image

文献类型:会议论文

作者Zewen He1,2; Jinghao Niu1,2; Junhong Ren2; Yajun Shi3; Wensheng Zhang1,2
出版日期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
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.University of Chinese Academy of Sciences, Beijing, China
2.Institute of Automation, 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.

入库方式: OAI收割

来源:自动化研究所

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