DocumentCode
2078689
Title
Implant positioning system using mutual inductance
Author
You Zou ; O´Driscoll, Stephen
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
751
Lastpage
754
Abstract
Surgical placement of implantable medical devices (IMDs) has limited precision and post-implantation the device can move over time. Accurate knowledge of the position of IMDs allows better interpretation of data gathered by the devices and may allow wireless power to be focused on the IMD thereby increasing power transfer efficiency. Existing positioning methods require device sizes and/or power consumptions which exceed the limits of in-vivo mm-sized IMDs applications. This paper describes a novel implant positioning system which replaces the external transmitting (TX) coil of a wireless power transfer link by an array of smaller coils, measures the mutual inductance between each coil in the TX array and the implanted receiving (RX) coil, and uses the spatial variation in those mutual inductances to estimate the location of the implanted device. This method does not increase the hardware or power consumption in the IMD. Mathematical analysis and electromagnetic simulations are presented which explain the theory underlying this scheme and show its feasibility. A particle swarm based algorithm is used to estimate the position of the RX coil from the measured mutual inductance values. MATLAB simulations show the positioning estimation accuracy on the order of 1 mm.
Keywords
biomedical equipment; coils; inductive power transmission; medical computing; particle swarm optimisation; position control; prosthetic power supplies; prosthetics; surgery; IMD; MATLAB simulations; RX coil; data interpretation; device sizes; electromagnetic simulations; external transmitting coil; implant positioning system; implantable medical devices; implanted device; limited precision; mathematical analysis; mutual inductance values; particle swarm based algorithm; positioning methods; post-implantation; power consumptions; surgical placement; wireless power transfer link; Arrays; Coils; Implants; Inductance; Inductance measurement; Particle swarm optimization; Table lookup; Algorithms; Computer Simulation; Electromagnetic Phenomena; Humans; Models, Theoretical; Prostheses and Implants; Telemetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346040
Filename
6346040
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