Greensite F, Huiskamp G
Department of Radiological Sciences, University of California-Irvine, UCI Medical Center, Orange 92868, USA.
IEEE Trans Biomed Eng. 1998 Jan;45(1):98-104. doi: 10.1109/10.650360.
We present a new method for regularizing the illposed problem of computing epicardial potentials from body surface potentials. The method simultaneously regularizes the equations associated with all time points, and relies on a new theorem which states that a solution based on optimal regularization of each integral equation associated with each principal component of the data will be more accurate than a solution based on optimal regularization of each integral equation associated with each time point. The theorem is illustrated with simulations mimicking the complexity of the inverse electrocardiography problem. As must be expected from a method which imposes no additional a priori constraints, the new approach addresses uncorrelated noise only, and in the presence of dominating correlated noise it is only successful in producing a "cleaner" version of a necessarily compromised solution. Nevertheless, in principle, the new method is always preferred to the standard approach, since it (without penalty) eliminates pure noise that would otherwise be present in the solution estimate.
我们提出了一种新方法,用于正则化从体表电位计算心外膜电位的不适定问题。该方法同时对与所有时间点相关的方程进行正则化,并依赖于一个新定理,该定理指出,基于对与数据的每个主成分相关的每个积分方程进行最优正则化得到的解,将比基于对与每个时间点相关的每个积分方程进行最优正则化得到的解更准确。该定理通过模拟逆心电图问题的复杂性进行了说明。正如从一种不施加额外先验约束的方法中必然预期的那样,新方法仅处理不相关噪声,并且在存在主导相关噪声的情况下,它仅成功地产生了一个必然受损解的“更清晰”版本。然而,原则上,新方法总是优于标准方法,因为它(无代价地)消除了否则会出现在解估计中的纯噪声。