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Research Papers

Optimization of Transcutaneous Energy Transmission Systems Suitable for Left Ventricular Assist Devices

[+] Author and Article Information
Kelly Byron, John Pauly

Stanford University

Lori Lucke

Minnetronix

Manuscript received March 15, 2013; final manuscript received May 1, 2013; published online June 4, 2013. Editor: Gerald E. Miller.

J. Med. Devices 7(2), 020940 (Jun 04, 2013) (2 pages) Paper No: MED-13-1030; doi: 10.1115/1.4024432 History: Received March 15, 2013; Revised May 01, 2013

Transcutaneous energy transmission systems (TETS) wirelessly transmit power through the skin. TETS is particularly desirable for ventricular assist devices (VAD), which currently require cables through the skin to power the implanted pump. Current implantable TETS systems are not optimized for high power VAD applications. Optimizing the inductive link of the TET system is a multi-parameter problem. Most current techniques to optimize the design simplify the problem by combining parameters leading to sub-optimal solutions. In this paper we present an optimization method using a genetic algorithm to handle a larger set of parameters, which leads to a more optimal design.

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References

Puers, R., and Vandevoorde, G., 2002, “Recent Progress on Transcutaneous Energy Transfer for Total Artificial Heart Systems,” Artificial Organs.
Sample, A., et al. ., 2011, “Analysis, Experimental Results, and Range Adaptation of Magnetically Coupled Resonators for Wireless Power Transfer,” IEEE Tran. On Ind'l Elec.
Aming, F., et al. ., 2010, “Analysis of Bifurcation Phenomena Based on Optimized Transformer in Loosely Coupled Inductive Power Transfer System,” Int'l Conf. Elec. & Cont. Eng.
Joungl, G., et al. ., 1998, “An Energy Transmission System for an Artificial Heart Using Leakage Inductance Compensation of Transcutaneous Transformer,” IEEE Trans on Power Elec.
Galbraith, D., et al. ., 1987, “A Wide-Band Efficient Inductive Transdermal Power and Data Link With Coupling Insensitive Gain,” Biomedical Engineering, IEEE Trans on Bio Eng.

Figures

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Fig. 1

Inductive link circuit model

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Fig. 2

Critical coupling design method

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Fig. 3

Critical coupling circuit model

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Fig. 4

Genetic algorithm design method

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Fig. 5

Genetic algorithm circuit model

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Fig. 6

Comparison of results with varying k

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