Analysis on Myocardial Ischemia Based on R-S-T Signals in ECG
SONG Jin-zhong
YAN Hong
LIU Liang
LIANG Zhong-gang
Abstract：Objective To overcome the difficulty in positioning the feature points of electrocardiogram (ECG)ST-T complex by analyzing myocardial ischemia (MI) using ECG R-S-T characteristics. Methods The means,variances, and approximate entropies of some characteristics extracted from triangle RSTs were calculated,then they were used for statistical analysis between myocardial ischemia states and non-myocardial ischemia states. Results Five new indicators, including RTrv, TSrv, RSrv, ArearE,and RatelrE, were presented,and significant differences were obtained after The Long-Term ST database (LTST) verification. Conclusion Myocardial ischemia is analyzed based on ECG R-S-T in this paper, which overcomes the difficulty in positio-ning the feature points of ST-T complex, and the experimental results provide recommendation for myocardial ischemia analysis based on ECG. In addition, heart rate (HR) plays a significant role in MI detection.
Keywords：ECGmyocardial ischemiaapproximate entropyR-S-T
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)