摘要
目的ST-T段变化是心电图检测心肌缺血主要的临床表现，代表了心室复极的电位变化；但其特征点定位存在很大的不准确性，为了克服这一难点，本研究从心电图QRS波群出发进行心肌缺血分析。方法从心电图QRS波群（代表了心室的除极过程）出发，综合提取QRS波群的各个时域参数，然后进行心肌缺血与非心肌缺血条件下的统计检验。结果经MIT—BIH数据库中正常心电数据和公共数据库LTST中心肌缺血数据的统计分析，发现有5个参数其差异有统计学意义：QRS波群上升斜率、下降斜率、瞬时心率，三角形QRS的R角、Q角。结论在QRS波群推出的各个参数中，有5个参数其差异具有统计学意义。本研究方法为心肌缺血的检测提供另一重要的依据。
Objective ST-T complex change, which represents the ventricle repolarization phase, is the main clinical indicator in detecting myocardial ischemia （MI） based on electrocardiogram （ECG） signals. However, its feature point location is not accurate due to interferences. In this paper, a new approach about myocardial ischemia analysis was proposed based on QRS complex. Methods QRS complex, representing the ventricle depolarization process, was used to analyze myocardial ischemia, and some parameters were extracted synthetically in time domain. Then they were used for statistical analysis of myocardial ischemia states and non-myocardial ischemia states. Results Five parameters had significant differences after verification of Non-MI signals in MIT-BIH database and MI signals in long-term ST database （LTST） and they were： QRS upward and downward slopes, transient heart rate, R angle and Q angle in a triangle QRS. Conclusion Five parameters extracted from QRS complex had significant differences. The proposed method provides an important basis for myocardial ischemia detection.
出处
《国际生物医学工程杂志》
CAS
北大核心
2011年第3期163-166,共4页
International Journal of Biomedical Engineering
基金
基金项目：中国航天医学工程预先研究项目（SJ201006）
关键词
心电图
心肌缺血
QRS波群
上升斜率
Electrocardiogram
Myocardial ischemia
QRS complex
Upward slope
