Detecting Myocardial Infraction Using VCG Leads

摘要：

Standard electrocardiogram (ECG) lead system and Frank vectorcardiogram (VCG) lead system are two most popular and basic lead systems. Most of the existing analyses on ECG signals are based on the standard ECG leads. In practice, Frank VCG leads that are orthogonal between them are more correlated with anatomy than standard ECG leads. The VCG feature extraction from Frank leads has been studied in this research. Myocardial infraction (MI) VCG signals including health control (HC), acute MI (AMI), sub-acute MI (SAMI) that were taken from PTB diagnostic ECG database were employed for the analysis in this study. The multivariate autoregressive (AR) coefficients were utilized as VCG features for the classification. The results show that Frank VCG leads can classify better compared to standard ECG leads.

关键词： myocardial infraction VCGs features classification

作者: Ge Dingfei

作者单位: School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2217-2220

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）