A NEW PHYSIOLOGIC MODEL FOR DYNAMIC PROCESS OF CREATINE KINASE ACTIVITY AFTER ACUTE MYOCARDIAL INFARCTION AND ESTIMATION OF INFARCT SIZE

A new physiologic model for dynamic process of Creatine Kinase (CK) after acute myocardial infarction is proposed. The fundamental hypotheses are tested. The new model is better than the log-normal model in goodness of fit. With this new model, the infarct size of complicated cases with double or multiple peak CK curve can be estimated as well as that of uncomplicated cases.To estimate parameters, a nomographic algorhithm and a computer program have been deaigned. In most cases, the initial values for parameters estimated with Marquardt's method can be determined from individual CK data.     

模糊事件的熵和信号量

本文定义了结局为模糊事件的随机试验的熵和信息量,将Shannon熵和信息推广到Fuzzy情形。讨论了模糊事件的熵和信息的基本性质。发现结局为模糊事件的随机试验的熵可分解为随机熵和模糊熵之和。找到了Shannon熵和Do Luca熵之间的联系。     

急性心肌梗塞后血清肌酸激酶活性动态变化的一个新的生理模型及梗塞量估计

本文提出了急性心肌梗塞后血清CK活性动态变化的一个新的生理模型。对基本假设进行了检验。对测试数据拟合的优度优于对数正态经验模型,而且这个生理模型能够计算CK曲线呈双峰或多峰的病人的梗塞量。本文还设计了估计参数和梗塞量的图算法和计算机算法。在大多数情况下,用Marquardt法作计算机曲线拟合所需要的参数初值可由个体CK数据自动地确定。