J
Jang-Zern Tsai
Researcher at National Central University
Publications - 54
Citations - 1446
Jang-Zern Tsai is an academic researcher from National Central University. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 19, co-authored 54 publications receiving 1352 citations. Previous affiliations of Jang-Zern Tsai include University of Wisconsin-Madison.
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Journal ArticleDOI
Three-dimensional finite-element analyses for radio-frequency hepatic tumor ablation
Supan Tungjitkusolmun,Stephen T. Staelin,Dieter Haemmerich,Jang-Zern Tsai,Hong Cao,John G. Webster,Fred T. Lee,David M. Mahvi,V.R. Vorperian +8 more
TL;DR: Three three-dimensional thermal-electrical FEM models consisting of a four-tine RF probe, hepatic tissue, and a large blood vessel located at different locations are constructed and a preliminary result from a simplified two-dimensional FEM model that includes a bifurcated blood vessel is presented.
Journal ArticleDOI
Thermal--electrical finite element modelling for radio frequency cardiac ablation: effects of changes in myocardial properties.
TL;DR: A process of FE modelling of a system that included blood, myocardium, and an ablation catheter with a thermistor embedded at the tip is described, and it is concluded that the optimal number of elements for the proposed system is 24610.
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Finite element analyses of uniform current density electrodes for radio-frequency cardiac ablation
TL;DR: Finite element analysis is used to predict the current density distribution created by several electrode designs for RF ablation and shows that more uniform current density can be accomplished by recessing the electrode, adding a curvature to the electrodes, and by coating the electrode with a resistive material.
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Noncontact radio-frequency ablation for obtaining deeper lesions
TL;DR: This work applies 120 W of power through an 8-mm electrode for a 120-s duration, with distances from 0 to 3 mm between electrode and myocardium, to create lesions in myocardia, and shows that with an optimal distance, higher flow rate does not lead to a deeper lesion.
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Using electrical impedance to predict catheter-endocardial contact during RF cardiac ablation
TL;DR: A method that utilizes the electrical impedance between the catheter electrode and the dispersive electrode to predict theCatheter tip electrode insertion depth into the endocardium using the obtained calibration curve gives reasonably accurate predicted depth.