摘要
基于一种求解心电场逆问题的新方法,对心肌梗塞参数识别进行研究.仿真研究了心肌梗塞参数(部位和大小)与体表电位分布(BodySurfacePotentialMappings:BSPM)特征参数之间的关系,用DSPM中对梗塞部位和大小的敏感特征参数构造了优化系统的数学模型.试验结果表明:该研究方法可以有效地识别梗塞部位和大小,梗塞部位的识别精度为一个心肌分区,梗塞大小的识别精度可达85%以上.
Based on a new approach to solve the Electrocardiograph (ECG) inverse problems,we study the recognition of the myocardial infarction (MI) parameters.The relations between the MI parameters (MI sites and sizes) and the body surface potential mappings (BSPM) are studied in detail using the heart simulation model.With the use of the BSPM features that are sensitive to the MI sites and sizes,mathematical models of the optimization system are structured.The experimental results indicate that the proposed approach in this paper can recognize efficiently the MI sites and sizes and the recognition accuracy to the MI sites is a myocardial segment in the heart model and to the MI sizes larger than 85%.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第11期41-43,40,共4页
Acta Electronica Sinica
基金
国家博士点基金
山东工业大学博士基金
关键词
心电场逆问题
心肌梗塞
心电仿真模型
BSPM
求解
electrocardiograph inverse problem
myocardial infarction
heart simulation model
body surface potential mapping
