两种用于心电图逆问题正则化参数选择方法的比较。
A comparison of two methods for choosing the regularization parameter for the inverse problem of electrocardiography.
作者信息
Lowther David A, Throne Robert D, Olson Lorraine G, Windle John R
机构信息
University of Nebraska, Lincoln, NE, USA.
出版信息
Biomed Sci Instrum. 2002;38:257-61.
We have previously compared both generalized eigensystem (GES) and Tikhonov regularization methods for estimating epicardial potentials from measured body surface potentials. Both of these methods require the choice of a regularization parameter. In this study we compare two methods for choosing this parameter: the Composite Residual Error and Smoothing Operator (CRESO) method, and a new Zero Crossing (ZC) method. We compared both CRESO and ZC methods for zero and first order GES and Tikhonov regularization methods on a swine model and found that the ZC method sometimes produces smaller errors, but only for small noise levels.
我们之前比较了广义特征系统（GES）和蒂霍诺夫正则化方法，用于从测量的体表电位估计心外膜电位。这两种方法都需要选择一个正则化参数。在本研究中，我们比较了两种选择该参数的方法：复合残差误差和平滑算子（CRESO）方法，以及一种新的过零（ZC）方法。我们在猪模型上比较了CRESO和ZC方法用于零阶和一阶GES以及蒂霍诺夫正则化方法，发现ZC方法有时会产生较小的误差，但仅在低噪声水平下。
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