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Visual prosthesis wireless energy transfer system optimal modeling.

Xueping Li, Yuan Yang1, Yong Gao

  • 1Department of Electronic Engineering, Xi'an University of Technology, Jinhua Road No,5, Xi'an 710048, China. yangyuan@xaut.edu.cn.

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Summary
This summary is machine-generated.

Optimized modeling of wireless energy transfer systems enhances visual prosthesis power supply. Incorporating parasitic and biological capacitance improves accuracy for practical applications.

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Area of Science:

  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Wireless energy transfer systems offer a viable solution for powering visual prostheses.
  • Accurate theoretical modeling is crucial for optimizing these systems.

Purpose of the Study:

  • To optimize the wireless energy transfer system model for visual prosthesis applications.
  • To improve the accuracy of energy transfer modeling by considering real-world factors.

Main Methods:

  • Developed an optimized model for wireless energy transfer systems based on an ideal model.
  • Incorporated planar spiral coils as coupling devices.
  • Introduced the concept of biological capacitance to account for tissue influence and considered parasitic capacitance.

Main Results:

  • The optimized model, including parasitic and biological capacitance, significantly impacts high-frequency wireless energy transfer.
  • Simulation data from the optimized model aligns with experimental results, validating its accuracy.

Conclusions:

  • The proposed optimal model offers significant theoretical guidance for advancing wireless energy transfer research.
  • Provides a more precise model for addressing power supply challenges in clinical visual prosthesis applications.