2005Unpublished venueRequires access

Regularization Of The Inverse Epicardial Solution Using Linearly Constrained Optimization

I. Iakovidis, R.M. Gulrajani

Open publisher page 7 citations

Abstract

A modification of the Tikhonov regularization method is proposed for a stable recovery of the solution to the Inverse Problem of Electrocardiography. It consists of optimization of the Tikhonov functional subject to additional constraints on the amplitudes derived from an overregularized Tikhonov solution. This optimization method, tested on a concentric spheres model, yields solutions that are more accurate than an optimal Tikhonov solution.

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What this paper is about

A modification of the Tikhonov regularization method is proposed for a stable recovery of the solution to the Inverse Problem of Electrocardiography. It consists of optimization of the Tikhonov functional subject to additional constraints on the amplitudes derived from an overregularized Tikhonov solution. This optimization method, tested on a concentric spheres model, yields solutions that are more accurate than an optimal Tikhonov solution.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A modification of the Tikhonov regularization method is proposed for a stable recovery of the solution to the Inverse Problem of Electrocardiography. It consists of optimization of the Tikhonov functional subject to additional constraints on the amplitudes derived from an overregularized Tikhonov solution. This optimization method, tested on a concentric spheres model, yields solutions that are more accurate than an optimal Tikhonov solution.

Key concepts: Tikhonov regularization, Regularization (linguistics), Inverse problem, Mathematics, Applied mathematics, Inverse, Mathematical optimization, Backus–Gilbert method

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