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Proceedings Paper

Wireless power using magnetic resonance coupling for neural sensing applications
Author(s): Hargsoon Yoon; Hyunjung Kim; Sang H. Choi; Larry D Sanford; Demetris Geddis; Kunik Lee; Jaehwan Kim; Kyo D. Song
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Paper Abstract

Various wireless power transfer systems based on electromagnetic coupling have been investigated and applied in many biomedical applications including functional electrical stimulation systems and physiological sensing in humans and animals. By integrating wireless power transfer modules with wireless communication devices, electronic systems can deliver data and control system operation in untethered freely-moving conditions without requiring access through the skin, a potential source of infection. In this presentation, we will discuss a wireless power transfer module using magnetic resonance coupling that is specifically designed for neural sensing systems and in-vivo animal models. This research presents simple experimental set-ups and circuit models of magnetic resonance coupling modules and discusses advantages and concerns involved in positioning and sizing of source and receiver coils compared to conventional inductive coupling devices. Furthermore, the potential concern of tissue heating in the brain during operation of the wireless power transfer systems will also be addressed.

Paper Details

Date Published: 30 March 2012
PDF: 7 pages
Proc. SPIE 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012, 83440S (30 March 2012); doi: 10.1117/12.917650
Show Author Affiliations
Hargsoon Yoon, Norfolk State Univ. (United States)
Hyunjung Kim, NASA Langley Research Ctr. (United States)
Sang H. Choi, NASA Langley Research Ctr. (United States)
Larry D Sanford, Eastern Virginia Medical School (United States)
Demetris Geddis, Norfolk State Univ. (United States)
Kunik Lee, Federal Highway Administration (United States)
Jaehwan Kim, Inha Univ. (Korea, Republic of)
Kyo D. Song, Norfolk State Univ. (United States)


Published in SPIE Proceedings Vol. 8344:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012
Vijay K. Varadan, Editor(s)

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