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

Journal Article · · IEEE Transactions on Bio-Medical Engineering
DOI:https://doi.org/10.1109/10.563297· OSTI ID:484471
;  [1];  [2];  [3]
  1. Sandia National Lab., Albuquerque, NM (United States)
  2. New Mexico State Univ., Las Cruces, NM (United States)
  3. Univ. of Pittsburgh, PA (United States)

To date, optimization of electrode systems for electrical defibrillation has been limited to hand-selected electrode configurations. In this paper we 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. 39 refs., 9 figs., 2 tabs.

OSTI ID:
484471
Journal Information:
IEEE Transactions on Bio-Medical Engineering, Vol. 44, Issue 4; Other Information: PBD: Apr 1997
Country of Publication:
United States
Language:
English