Simple classification technique for 3D highly heterogeneous domains and its application in defibrillation modeling

Entcheva, Emilia; Claydon, F.J.; Huang, Qing Qing; deJongh, A.; Replogle, J.A.

doi:10.1109/iembs.1997.754562

Cited by 9 publications

(1 citation statement)

References 6 publications

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“…Volume points are subsequently generated and connected in the form of tetrahedral elements [11,12]. The mesh generation process is completed by defining each tetrahedron as a member of its respective tissue type (i.e.…”

Section: Model Constructionmentioning

confidence: 99%

Optimizing electrode placement in a proposed ICD system incorporating LV electrodes: finite element analysis

Jongh

Entcheva

Booker³

et al.

Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292)

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The objective of this study is to determine the optimal electrode positions for an ICD system including a coil electrode placed in a coronary vein on the left side of the heart. Simulations are performed using a physiologically realistic finite element model of the human thorax. Coil electrodes are placed in the RV apex along the lateral wall (RVI), RV apex along the anterior septum (RV2), superior vena cava (SVC), left intraventricular coronary vein (L Vl), and posteriolateral coronary vein (L V2). An active pulse generator (Can) is placed in the subcutaneous prepectoral space. Four electrode configurations are tested: R VI +L VI 4 V C + C a n , R VI +L V2 4 VC+Can, RVZ+LVI 4 V C + C a n , and RVZ+LV24VC+Can. The computed DFTs are 5.4, 4.1, 6.6, and 4.6 J , respectively. Improving defibrillation eflcacy allows for reduction in pulse generator size, providing simpli9ed pectoral implantation and a greater patient population eligible for pectoral implantation.

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Section: Model Constructionmentioning

confidence: 99%

Optimizing electrode placement in a proposed ICD system incorporating LV electrodes: finite element analysis

Jongh

Entcheva

Booker³

et al.

Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292)

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A Prolog-based centroid algorithm for isovolume extraction from finite element torso simulations

Russomanno

Hicks

2002

Computer Methods and Programs in Biomedicine

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Extracting isovolumes from three-dimensional torso geometry using PROLOG

Replogle

Russomanno

Jongh

et al. 1998

IEEE Trans. Inform. Technol. Biomed.

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Three-dimensional (3-D) finite element torso models are widely used to simulate defibrillation field quantities, such as potential, gradient, and current density. These quantities are computed at spatial nodes that comprise the torso model. These spatial nodes typically number between 10(5) and 10(6), which makes the comprehension of torso defibrillation simulation output difficult. Therefore, the objective of this study is to rapidly prototype software to extract a subset of the geometric model of the torso for visualization in which the nodal information associated with the geometry of the model meets a specified threshold value (e.g., minimum gradient). The data extraction software is implemented in PROLOG, which is used to correlate the coordinate, structural, and nodal data of the torso model. A PROLOG-based environment has been developed and is used to rapidly design and test new methods for sorting, collecting, and optimizing data extractions from defibrillation simulations in a human torso model for subsequent visualization.

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Simple classification technique for 3D highly heterogeneous domains and its application in defibrillation modeling

Cited by 9 publications

References 6 publications

Optimizing electrode placement in a proposed ICD system incorporating LV electrodes: finite element analysis

Optimizing electrode placement in a proposed ICD system incorporating LV electrodes: finite element analysis

A Prolog-based centroid algorithm for isovolume extraction from finite element torso simulations

Extracting isovolumes from three-dimensional torso geometry using PROLOG

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