Magnetocardiography based Ischemic Heart Disease Detection and Localization using Machine Learning Methods.

Rong Tao,Shulin Zhang, Xiao Huang,Minfang Tao,Jian Ma,Shixin Ma,Chaoxiang Zhang, Tongxin Zhang,Fakuan Tang,Jianping Lu, Chenxing Shen,Xiaoming Xie

IEEE Transactions on Biomedical Engineering（2019）

引用 61|浏览68

暂无评分

摘要

Objective: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology. Methods: T wave was segmented from averaged Magnetocardiography (MCG) recordings and 164 features were subsequently extracted. These features were categorized into three groups: time domain features, frequency domain features, and information theory features. Next, w...

查看译文

关键词

Feature extraction,Electrocardiography,Support vector machines,Time-domain analysis,Machine learning,Arteries,Diseases

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要