A new regularization method for computing epicardial potentials from body surface potentials eliminates pure noise without penalty, providing a more accurate solution than the standard approach.
Inverse electrocardiography problem
New regularization method for computing epicardial potentials vs Standard approach
Accuracy of solution based on optimal regularization
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.
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Fred Greensite
University of California, Irvine
Geertjan Huiskamp
University Medical Center Utrecht
IEEE Transactions on Biomedical Engineering
University of California, Irvine
University of California, Irvine Medical Center
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Greensite et al. (Thu,) conducted a other in Inverse electrocardiography problem. New regularization method for computing epicardial potentials vs. Standard approach was evaluated on Accuracy of solution based on optimal regularization. A new regularization method for computing epicardial potentials from body surface potentials eliminates pure noise without penalty, providing a more accurate solution than the standard approach.
synapsesocial.com/papers/6a1561c65347fbb1739fb0b9 — DOI: https://doi.org/10.1109/10.650360
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