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Electrical defibrillation optimization: an automated, iterative parallel finite-element approach

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4 Author(s)
Hutchinson, S.A. ; Dept. of Parallel Comput. Sci., Sandia Nat. Labs., Albuquerque, NM, USA ; Ng, K.T. ; Shadid, J.N. ; Nadeem, A.

To date, optimization of electrode systems for electrical defibrillation has been limited to hand-selected electrode configurations. Here, the authors present an automated approach which combines detailed, three-dimensional (3-D) finite-element torso models with optimization techniques to provide a flexible analysis and design tool for electrical defibrillation optimization. Specifically, a parallel direct search (PDS) optimization technique is used with a representative objective function to find an electrode configuration which corresponds to the satisfaction of a postulated defibrillation criterion with a minimum amount of power and a low possibility of myocardium damage. For adequate representation of the thoracic inhomogeneities, 3-D finite-element torso models are used in the objective function computations. The CPU-intensive finite-element calculations required for the objective function evaluation have been implemented on a message-passing parallel computer in order to complete the optimization calculations in a timely manner. To illustrate the optimization procedure, it has been applied to a representative electrode configuration for transmyocardial defibrillation, namely the subcutaneous patch-right ventricular catheter (SP-RVC) system. Sensitivity of the optimal solutions to various tissue conductivities has been studied. Results for the optimization of defibrillation systems are presented which demonstrate the feasibility of the approach.

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Biomedical Engineering, IEEE Transactions on  (Volume:44 ,  Issue: 4 )