Electrical defibrillation optimization: An automated, iterative parallel finite-element approach
- Sandia National Lab., Albuquerque, NM (United States)
- New Mexico State Univ., Las Cruces, NM (United States)
- 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
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Related Subjects
BASIC STUDIES
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES
CARDIOVASCULAR SYSTEM
DIAGNOSIS
FINITE ELEMENT METHOD
OPTIMIZATION
AUTOMATION
ELECTRODES
ITERATIVE METHODS
COMPUTER CALCULATIONS
MYOCARDIUM
PARALLEL PROCESSING
NUMERICAL DATA