Review of Automatic Diagnosis Algorithms of Coronary Artery Disease Based on Exercise ECG

摘要：

Automatic diagnosis algorithms of coronary artery disease based on exercise ECG can improve the diagnostic accuracy, which also released experts who used to use visual analysis of the ECG from this time-consuming task. What’s more, it will allow ECG to become one of the most important family health care equipment. This paper reviewed the relationship between different types of coronary artery disease and their ECG features, feature extraction algorithm, and automatic classification algorithm.

关键词： Coronary Artery Disease Exercise ECG feature extraction automatic classification.

作者: Yezi Liao Weifeng Liu Chunyu Zhang Xiaoying Tang

作者单位: Beijing Institute of Technology, School of Life Science, Beijing, China

会议类型: 国际会议

会议名称: The 7th International Conference Cooperation and Promotion of Information Resources in Science and Technology(第七届科技信息资源共享促进国际会议 )

会议地点: 南京

会议语种:英文

页码: 1-9

在线出版日期: 2012-11-23（万方平台首次上网日期，不代表论文的发表时间）