Prediction of ventricular fibrillation based on the ST-segment deviation: Allometric model

机译：基于ST段偏差的心室纤颤预测：异速模型

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Based on some reported clinical data, we attempt to apply the allometric law for evaluating the probability of ventricular fibrillation when electrocardiographic ST-segment deviations are determined. The deviation is measured in millimeters at the standard calibration of 1mV = 10mm and the probability in percent. Using the equation VFP = δ + β (ST) in log-log representation, the fitting procedure produced the following overall coefficients: Average β = 1.11, with a maximum = 1.65 and a minimum = 0.78; Average δ = 0.83, with a maximum = 1.39 and a minimum = 0.41. For a 2mm ST-deviation, the full range of predicted ventricular fibrillation probability extended from about 6% at 1 month up to 47% at 4 years after the original cardiac event. These results, at least preliminarily, appear acceptable and still call for full clinical test. The model seems promising if other parameters were taken into account, such as cardiac enzyme concentration, ischemic or infarcted epicardial areas or ejection fraction. It is concluded, considering these results and a few references found in the literature, that the allometric model shows promising features in cardiology.

机译：基于一些已报告的临床数据，当心电图ST段偏离确定时，我们尝试应用异位律来评估心室颤动的可能性。在1mV = 10mm的标准校准下，以毫米为单位测量偏差，以百分数表示概率。使用对数对数表示中的方程VF P =δ+β（ST），拟合过程得出以下总体系数：平均β= 1.11，最大值= 1.65，最小值= 0.78;平均值δ= 0.83，最大值= 1.39，最小值= 0.41。对于2mm ST偏差，预计的心室纤颤几率的范围从最初心脏事件后的1个月的6％扩大到4年的47％。这些结果至少在初步看来是可以接受的，仍然需要进行全面的临床测试。如果考虑其他参数，例如心脏酶浓度，缺血性或梗死性心外膜面积或射血分数，该模型似乎很有希望。结论是，考虑到这些结果和文献中发现的一些参考文献，该异速测量模型在心脏病学中显示出有希望的特征。

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《32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society》|2010年|p.2009-2012|共4页
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Arini Pedro D.; Bonomini Maria P.; Valentinuzzi Max E.;
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中图分类生物工程学（生物技术）;
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1. Probability of ventricular fibrillation: allometric model based on the ST deviation [J] . Maria P Bonomini, Pedro D Arini, Max E Valentinuzzi BioMedical Engineering OnLine . 2011,第1期

机译：心室颤动的可能性：基于ST偏差的异位模型
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4. Prediction of ventricular fibrillation based on the ST-segment deviation: Allometric model [C] . Arini Pedro D., Bonomini Maria P., Valentinuzzi Max E. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2010

机译：基于ST段偏差的心室纤颤预测：异速模型
5. The characteristics of monomorphic ventricular tachycardia, polymorphic ventricular tachycardia, and ventricular fibrillation as analyzed by linear and nonlinear methods. [D] . Yang, Shiow-Ying. 2002

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6. Probability of ventricular fibrillation: allometric model based on the ST deviation [O] . Maria P Bonomini, Pedro D Arini, Max E Valentinuzzi 2011

机译：心室颤动的可能性：基于ST偏差的异位模型
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Prediction of ventricular fibrillation based on the ST-segment deviation: Allometric model

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