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Related Experiment Videos

A power efficient electronic implant for a visual cortical neuroprosthesis.

Jonathan Coulombe1, Sylvain Carniguian, Mohamad Sawan

  • 1PolySTIM Neurotechnologies Laboratory, Department of Electrical Engineering, Ecole Polytechnique de Montréal, Quebec, Canada. jonathan.coulombe@polymtl.ca

Artificial Organs
|February 24, 2005
PubMed
Summary

This study introduces an integrated microstimulator and pixel reordering algorithm for cortical visual prostheses. The system significantly reduces current and voltage demands for high-rate, multi-electrode stimulation, enhancing device efficiency and performance.

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Electrical Engineering

Background:

  • Cortical visual prostheses require efficient stimulation of numerous electrodes.
  • Existing stimulation methods face challenges with high current and voltage demands.
  • Minimizing power consumption is critical for implantable devices.

Purpose of the Study:

  • To develop an integrated microstimulator and a pixel reordering algorithm for cortical visual prostheses.
  • To minimize peak total current and voltage for high-rate, multi-electrode stimulation.
  • To reduce power consumption and stress on power recovery circuitry.

Main Methods:

  • Designed an integrated microstimulator using CMOS technology.
  • Implemented a novel pixel reordering algorithm in an external controller.

Related Experiment Videos

  • Utilized dynamic return electrode voltage variation for monopolar stimulation.
  • Tested a prototype stimulator and verified algorithm execution on a System-On-Chip platform.

    • Main Results:

    • Achieved maximized stimulation voltage and lower impedance compared to bipolar stimulation.
    • Demonstrated a near 75% decrease in total stimulation current standard deviation with a one-pass algorithm.
    • Observed a greater than 95% decrease in current standard deviation with a recursive algorithm variation.
    • Successfully tested the CMOS microstimulator prototype.

    Conclusions:

    • The integrated microstimulator and pixel reordering algorithm effectively reduce power requirements for visual prostheses.
    • The dynamic return voltage strategy enhances stimulation efficiency.
    • The reordering algorithm significantly mitigates stress on power circuitry for large electrode counts.
    • This approach advances the development of practical and efficient cortical visual prostheses.