Electrical defibrillation optimization: an automated, iterative parallel finite-element approach.
Electrical defibrillation optimization: an automated, iterative parallel finite-element approach.
复制标题
电除颤优化：一种自动化、迭代并行有限元方法。
DOI：
10.1109/10.563297
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Nadeem,A
中科院分区：
文献类型：
--
作者：
Hutchinson,SA;Ng,KT;Shadid,JN;Nadeem,A
到目前为止，电除颤电极系统的优化仅限于手工选择的电极配置。在这里，作者提出了一种自动化的方法，将详细的三维(3D)有限元躯干模型与优化技术相结合，为电除颤的优化提供了灵活的分析和设计工具。具体地说，使用具有代表性目标函数的并行直接搜索(PDS)优化技术来找到对应于以最小功率和低心肌损伤可能性满足假定除颤标准的电极配置。在目标函数计算中，采用了三维有限元躯干模型，以充分表达胸腔的不均匀性。为了及时完成优化计算，在消息传递并行机上实现了目标函数求值所需的CPU密集型有限元计算。为了说明优化过程，将其应用于一种典型的经心肌除颤电极结构，即皮下补片-右室导管(SP-RVC)系统。研究了最优解对不同组织电导率的敏感性。最后给出了除颤系统的优化结果，验证了该方法的可行性。
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.