Power Link Optimization for a Neurostimulator in Nasal Cavity

Joint Authors

Kim, Sanghoek
Lee, Seunghyun
Kim, Jonghoek

Source

International Journal of Antennas and Propagation

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-07-11

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Electronic engineering

Abstract EN

This paper examines system optimization for wirelessly powering a small implant embedded in tissue.

For a given small receiver in a multilayer tissue model, the transmitter is abstracted as a sheet of tangential current density for which the optimal distribution is analytically found.

This proposes a new design methodology for wireless power transfer systems.

That is, from the optimal current distribution, the maximum achievable efficiency is derived first.

Next, various design parameters are determined to achieve the target efficiency.

Based on this design methodology, a centimeter-sized neurostimulator inside the nasal cavity is demonstrated.

For this centimeter-sized implant, the optimal distribution resembles that of a coil source and the optimal frequency is around 15 MHz.

While the existing solution showed an efficiency of about 0.3 percent, the proposed system could enhance the efficiency fivefold.

American Psychological Association (APA)

Lee, Seunghyun& Kim, Jonghoek& Kim, Sanghoek. 2017. Power Link Optimization for a Neurostimulator in Nasal Cavity. International Journal of Antennas and Propagation،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1159385

Modern Language Association (MLA)

Lee, Seunghyun…[et al.]. Power Link Optimization for a Neurostimulator in Nasal Cavity. International Journal of Antennas and Propagation No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1159385

American Medical Association (AMA)

Lee, Seunghyun& Kim, Jonghoek& Kim, Sanghoek. Power Link Optimization for a Neurostimulator in Nasal Cavity. International Journal of Antennas and Propagation. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1159385

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1159385