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A soft decoding algorithm and hardware implementation for the visual prosthesis based on high order soft

Yuan Yang1, Nannan Quan2, Jingjing Bu2

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

Biomedical Engineering Online
|September 28, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Reed-Solomon (RS) error correcting code (ECC) for visual prostheses, improving wireless data communication reliability. The new system enhances data transmission security and accuracy for implantable devices.

Keywords:
Bit error rateDifferential amplitude phase-shift keyingReed–Solomon codeVisual prosthesis

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Area of Science:

  • Biomedical Engineering
  • Information Theory
  • Implantable Devices

Background:

  • High-order modulation is crucial for wireless energy transmission and data communication.
  • Developing reliable wireless data communication for visual prostheses is essential.
  • Traditional demodulation algorithms present hardware implementation challenges.

Purpose of the Study:

  • To propose a Reed-Solomon (RS) error correcting code (ECC) circuit based on differential amplitude and phase shift keying (DAPSK) soft demodulation for visual prostheses.
  • To reduce hardware complexity with an improved phase soft demodulation algorithm.
  • To enhance the reliability of wireless data communication for implantable visual prosthesis systems.

Main Methods:

  • Developed an improved phase soft demodulation algorithm for reduced hardware complexity.
  • Proposed an improved RS soft decoding method combining Chase and hard decoding algorithms.
  • Derived a method for symbol-level reliability calculation using bit reliability for implantable visual prosthesis requirements.
  • Verified algorithms using MATLAB simulations with biological channel models and FPGA experiments.

Main Results:

  • Achieved a data rate of 8 Mbps in simulations and experiments.
  • The improved demodulation algorithm saved hardware resources without compromising bit error rate (BER) performance.
  • The RS ECC circuit demonstrated a coding gain improvement of approximately 3 dB.
  • FPGA experiments confirmed the system's ability to correct data demodulation errors up to 3 cm, with significantly lower BER compared to the demodulation circuit alone.

Conclusions:

  • The proposed improved phase soft demodulation and RS soft decoding algorithms enhance data communication reliability for visual prostheses.
  • This work provides a significant reference for future research in visual prosthesis systems.
  • The developed ECC circuit offers a more reliable communication solution for implantable devices.