Wireless power using magnetic resonance coupling for neural sensing applications

Hargsoon Yoon; Hyunjung Kim; Sang H. Choi; Larry D Sanford; Demetris Geddis; Kunik Lee; Jaehwan Kim; Kyo D. Song

doi:10.1117/12.917650

30 March 2012 Wireless power using magnetic resonance coupling for neural sensing applications

Hargsoon Yoon, Hyunjung Kim, Sang H. Choi, Larry D Sanford, Demetris Geddis, Kunik Lee, Jaehwan Kim, Kyo D. Song

Proceedings Volume 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012; 83440S (2012) https://doi.org/10.1117/12.917650
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

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.

Citation Download Citation

Hargsoon Yoon, Hyunjung Kim, Sang H. Choi, Larry D Sanford, Demetris Geddis, Kunik Lee, Jaehwan Kim, and Kyo D. Song "Wireless power using magnetic resonance coupling for neural sensing applications", Proc. SPIE 8344, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2012, 83440S (30 March 2012); https://doi.org/10.1117/12.917650

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