MacLachlan Mary C, Nielsen Bjørn Fredrik, Lysaker Marius, Tveito Aslak
Simula Research Laboratory, Lysaker, Norway.
IEEE Trans Biomed Eng. 2006 Jun;53(6):1024-31. doi: 10.1109/TBME.2005.863928.
It is well known that the presence of myocardial ischemia can be observed as a shift in the ST segment of an electrocardiogram (ECG) recording. The question we address in this paper is whether or not ST shift can be used to compute approximations of the size and location of the ischemic region. We begin by investigating a cost functional (measuring the difference between synthetic recorded data and simulated values of ST shift) for a parameter identification problem to locate the ischemic region. We then formulate a more flexible representation of the ischemia using a level set framework and solve the associated minimization problem for the size and position of the ischemia. We apply this framework to a set of ECG data generated by the Bidomain model using the cell model of Winslow et al. Based on this data, we show that values of ST shift recorded at the body surface are capable of identifying the position and (roughly) the size of the ischemia.
众所周知，心肌缺血的存在可通过心电图（ECG）记录中ST段的偏移来观察。我们在本文中探讨的问题是，ST段偏移是否可用于计算缺血区域大小和位置的近似值。我们首先研究一个成本泛函（测量合成记录数据与ST段偏移模拟值之间的差异），用于解决定位缺血区域的参数识别问题。然后，我们使用水平集框架对缺血情况进行更灵活的表示，并求解缺血区域大小和位置的相关最小化问题。我们将此框架应用于使用Winslow等人的细胞模型由双域模型生成的一组ECG数据。基于这些数据，我们表明体表记录的ST段偏移值能够识别缺血区域的位置和（大致）大小。
