Comparison of head-chest lead electrocardiogram and routine lead electrocardiogram in diagnosis of acute posterior wall myocardial infarction / 南方医科大学学报

<p><b>OBJECTIVE</b>To compare the value of head-chest lead electrocardiogram (HCECG) and routine lead electrocardiogram (RLECG) in diagnosis of acute positive posterior myocardial infarction.</p><p><b>METHODS</b>HCECGs and RLECGs were recorded simultaneously in 68 normal individuals and 32 patients with acute posterior wall myocardial infarction confirmed by coronary angiography and echocardiography. Each HCECG and RLECG was analyzed by two senior physicians specialized in clinical electrophysiology who were blinded to the results. The HCECG- and RLECG-based diagnostic results were compared with the results of coronary angiography, and the coincidence rates and false positive rates of diagnosis based on HCECGs and RLECGs were calculated.</p><p><b>RESULTS</b>The coincidence rate was 93.8% (30/32) for RLECGs and 100% (32/32) for HCECGs in the diagnosis of acute posterior wall myocardial infarction, showing no significant difference between them (P>0.05). RLECGs-based diagnosis, however, resulted in a significantly higher false positive rate than HCECGs [13.2% (9/68) vs 0% (0/68), P<0.05].</p><p><b>CONCLUSION</b>Head-chest lead system is superior to routine lead system for its low false positive rates in the diagnosis of acute posterior wall myocardial infarction.</p>

An efficient method for simulating ventricular electrical activity based on anatomic structure by incorporating AP model / 南方医科大学学报

Conventional medical experiments can hardly simulate cardiac excitation propagation and observe the evolvement of cardiac electrical activities firsthand as is possible with computer simulation. Based on the anatomic structure of the heart, simulation of cardiac electrical activity mainly consists of the emulation of the excitation process among the cardiac cells and calculation of the electrical activities of individual cardiac cells. In this study we establish a geometric ventricular structure model demonstrating the direction of the cardiac muscle fibers and the layers of the ventricular cells, and endow different action potential models to the ventricular cells of different layers, and observe the activation process of the ventricular parts in view of the three-dimensional anatomy. This method gives attention to both enough calculation amounts and efficiency, which achieves satisfactory simulation results of ventricular electrical activity based on the anatomic structure and cell electrophysiology through an improved algorithm on personal computer.