MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications
Efficient wireless power transmission to a designated location can reduce the size of implantable device and save source energy, but the receiver coil and rectifier circuit still occupy a large area. This paper proposes a novel magnetic resonant coupling (MRC)-based double figure-of-eight coil senso...
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sg-ntu-dr.10356-1597182022-06-30T02:12:10Z MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications Wang, Wensong Pradhan, Raunaq Ho, Yeung Sai Zhao, Zhenyu Sun, Quqin Liao, Xinqin Wang, Shaomeng Fang, Zhongyuan Zheng, Yuanjin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Coil-Based Sensor System Magnetic Resonant Coupling Efficient wireless power transmission to a designated location can reduce the size of implantable device and save source energy, but the receiver coil and rectifier circuit still occupy a large area. This paper proposes a novel magnetic resonant coupling (MRC)-based double figure-of-eight coil sensor system to induce and monitor heat. Implantable devices could obtain energy from the surrounding electric field or heating effect. The fundamental of generating the heating effect by the proposed coil-based sensor system is derived, and conceptual system architecture is built. Then the radiating coil is analyzed in terms of Litz-wire coil optimization, lumped parameter extraction, impedance-matching network, equivalent circuit model, and coupling coefficient. Considering the current ratio, operating frequency, and designated location, the triple-mode operation mechanism is analyzed for the first time to adjust superposed electromagnetic fields at the designated location. At the odd-mode resonance, the electric field intensity in the middle between two figure-of-eight coils is significantly improved. Finally, the physical prototype of proposed coil-based sensor system is built up and experiments are conducted to test the currents in both figure-of-eight coils as well as the induced voltage and temperature change in the in-vitro sample by using the electrode sensor and thermocouple sensor. Measurements validate the feasibility of the proposed coil-sensor system. It also provides essential guidance on designing sensors for deep-tissue stimulation and hyperthermia treatment. 2022-06-30T02:12:10Z 2022-06-30T02:12:10Z 2020 Journal Article Wang, W., Pradhan, R., Ho, Y. S., Zhao, Z., Sun, Q., Liao, X., Wang, S., Fang, Z. & Zheng, Y. (2020). MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications. IEEE Sensors Journal, 21(13), 14491-14502. https://dx.doi.org/10.1109/JSEN.2020.3020578 1530-437X https://hdl.handle.net/10356/159718 10.1109/JSEN.2020.3020578 2-s2.0-85112585828 13 21 14491 14502 en IEEE Sensors Journal © 2020 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Coil-Based Sensor System Magnetic Resonant Coupling Wang, Wensong Pradhan, Raunaq Ho, Yeung Sai Zhao, Zhenyu Sun, Quqin Liao, Xinqin Wang, Shaomeng Fang, Zhongyuan Zheng, Yuanjin MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
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Efficient wireless power transmission to a designated location can reduce the size of implantable device and save source energy, but the receiver coil and rectifier circuit still occupy a large area. This paper proposes a novel magnetic resonant coupling (MRC)-based double figure-of-eight coil sensor system to induce and monitor heat. Implantable devices could obtain energy from the surrounding electric field or heating effect. The fundamental of generating the heating effect by the proposed coil-based sensor system is derived, and conceptual system architecture is built. Then the radiating coil is analyzed in terms of Litz-wire coil optimization, lumped parameter extraction, impedance-matching network, equivalent circuit model, and coupling coefficient. Considering the current ratio, operating frequency, and designated location, the triple-mode operation mechanism is analyzed for the first time to adjust superposed electromagnetic fields at the designated location. At the odd-mode resonance, the electric field intensity in the middle between two figure-of-eight coils is significantly improved. Finally, the physical prototype of proposed coil-based sensor system is built up and experiments are conducted to test the currents in both figure-of-eight coils as well as the induced voltage and temperature change in the in-vitro sample by using the electrode sensor and thermocouple sensor. Measurements validate the feasibility of the proposed coil-sensor system. It also provides essential guidance on designing sensors for deep-tissue stimulation and hyperthermia treatment. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Wang, Wensong Pradhan, Raunaq Ho, Yeung Sai Zhao, Zhenyu Sun, Quqin Liao, Xinqin Wang, Shaomeng Fang, Zhongyuan Zheng, Yuanjin |
format |
Article |
author |
Wang, Wensong Pradhan, Raunaq Ho, Yeung Sai Zhao, Zhenyu Sun, Quqin Liao, Xinqin Wang, Shaomeng Fang, Zhongyuan Zheng, Yuanjin |
author_sort |
Wang, Wensong |
title |
MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
title_short |
MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
title_full |
MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
title_fullStr |
MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
title_full_unstemmed |
MRC-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
title_sort |
mrc-based double figure-of-eight coil sensor system with triple-mode operation capability for biomedical applications |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/159718 |
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1738844962749939712 |