Discrimination of Myocardial Infraction Using Orthogonal ECG and Fuzzy Weighted Method
The abnormal changes of different myocardial infarction(MI) evolution stages appeared in Electrocardiogram(ECG) are low-level signals even under the high resolution condition. A method for enhancement of the low-level ECG signals in the signal averaged ECG was introduced in order to discriminate MI stages. High Resolution orthogonal Frank leads (orthogonal ECG,OECG) were analysed aiming to provide adequate information about MI stages in the study. The method includes the derivation of weighting value and computation of weighted OECG waveforms. Three OECG leads were transformed from 12-standard ECG leads by existing approach. The experimental results show the better features can be obtained from weighted OECG waveforms based on the proposed method compared with conventional signal averaging method. It is possible to classify MI stages for practical clinical diagnosis purpose.
Ge Dingfei Sun Lihui Wen Xiaojun
School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou, China
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）