A new method for regularization of the inverse problem of electrocardiography.

The inverse problem of electrocardiography (specifically, that part concerned with the computation of the ventricular surface activation isochrones) is shown to be formally equivalent to the problem of identification and measurement of discontinuities in derivatives of body surface potentials. This is based on the demonstration that such measurements allow localization of the relative extrema of the ventricular surface activation map (given a forward problem solution), which in turn restricts the space of admissible solution maps to a compact set. Although the inverse problem and the problem of identifying derivative discontinuities are both ill-posed, it is possible that the latter may be more easily or justifiably resolved with available information, particularly as current methods for regularizing the inverse problem typically rely on a regularization parameter chosen in an a posteriori fashion. An example of the power of the approach is the demonstration that a recent Uniform Dipole Layer Hypothesis-based method for producing the ventricular surface activation map is largely independent on that hypothesis and capable in principle of generating maps that are very similar in a precise sense to those that would result from the usual epicardial potential formulation (assuming the latter were capable of producing intrinsic deflections in computed epicardial electrograms sufficiently steep to accurately compute the activation map). This is consistent with the preliminary success of the former method, despite the significant inaccuracy of its underlying assumption.

[1]  J. Cuppen,et al.  Calculating the Isochrones of Ventricular Depolarization , 1984 .

[2]  R. Barr,et al.  Inverse Calculation of QRS‐T Epicardial Potentials from Body Surface Potential Distributions for Normal and Ectopic Beats in the Intact Dog , 1978, Circulation research.

[3]  K. Rosen,et al.  Epicardial Activation of the Intact Human Heart Without Conduction Defect , 1979, Circulation.

[4]  A. N. Tikhonov,et al.  Solutions of ill-posed problems , 1977 .

[5]  David L. Phillips,et al.  A Technique for the Numerical Solution of Certain Integral Equations of the First Kind , 1962, JACM.

[6]  Y. Rudy,et al.  The use of temporal information in the regularization of the inverse problem of electrocardiography , 1992 .

[7]  A. M. Scher,et al.  Effect of Tissue Anisotropy on Extracellular Potential Fields in Canine Myocardium in Situ , 1982, Circulation research.

[8]  G. Huiskamp,et al.  The depolarization sequence of the human heart surface computed from measured body surface potentials , 1988, IEEE Transactions on Biomedical Engineering.

[9]  A van Oosterom,et al.  New quantitative and qualitative approaches to the inverse problem of electrocardiology: their theoretical relationship and experimental consistency. , 1990, Medical physics.

[10]  A. van Oosterom,et al.  Source parameter estimation in inhomogeneous volume conductors of arbitrary shape , 1989, IEEE Transactions on Biomedical Engineering.

[11]  F. Roberge,et al.  Moving Dipole Inverse ECG and EEG Solutions , 1984, IEEE Transactions on Biomedical Engineering.

[12]  D. Durrer,et al.  The electrocardiogram in normal and some abnormal conditions; in revived human fetal heart and in acute and chronic coronary occlusion. , 1961, American heart journal.

[13]  F. Greensite,et al.  Some imaging parameters of the oblique dipole layer cardiac generator derivable from body surface electrical potentials , 1992, IEEE Transactions on Biomedical Engineering.

[14]  A. van Oosterom,et al.  The effect of torso inhomogeneities on body surface potentials quantified using "tailored" geometry. , 1989, Journal of electrocardiology.

[15]  Y Rudy,et al.  The inverse problem in electrocardiography: solutions in terms of epicardial potentials. , 1988, Critical reviews in biomedical engineering.

[16]  A. van Oosterom,et al.  Model Studies with the Inversely Calculated lsochrones of Ventricular Depolarization , 1984, IEEE Transactions on Biomedical Engineering.

[17]  Yoshiwo Okamoto,et al.  Limitation of the Inverse Problem in Body Surface Potential Mapping , 1983, IEEE Transactions on Biomedical Engineering.

[18]  B. Taccardi,et al.  A mathematical procedure for solving the inverse potential problem of electrocardiography. analysis of the time-space accuracy from in vitro experimental data , 1985 .

[19]  B. Taccardi,et al.  Potential Fields on the Ventricular Surface of the Exposed Dog Heart during Normal Excitation , 1983, Circulation research.

[20]  B. Taccardi,et al.  Potential Fields Generated by Oblique Dipole Layers Modeling Excitation Wavefronts in the Anisotropic Myocardium: Comparison with Potential Fields Elicited by Paced Dog Hearts in a Volume Conductor , 1982, Circulation research.

[21]  Topological foundations of electrocardiololgy , 1985 .

[22]  Robert Guardo,et al.  A Simulation Study of the Single Moving Dipole Representation of Cardiac Electrical Activity , 1982, IEEE Transactions on Biomedical Engineering.

[23]  R. O. Martin,et al.  Statistically Constrained Inverse Electrocardiography , 1975, IEEE Transactions on Biomedical Engineering.

[24]  Y. Yamashita Theoretical Studies on the Inverse Problem in Electrocardiography and the Uniqueness of the Solution , 1982, IEEE Transactions on Biomedical Engineering.