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Harmonic-balance circuit analysis for electro-neural interfaces.

Zhijie Charles Chen1,2,3, Bing-Yi Wang2,4, Daniel Palanker2,5

  • 1Department of Electrical Engineering, Stanford University, Stanford, CA, United States of America.

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|April 17, 2020
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Summary
This summary is machine-generated.

Optimizing neural stimulation waveforms maximizes charge injection capacity (CIC) within safety limits. Harmonic-balance analysis accurately models electrode-electrolyte interfaces, improving CIC predictions over traditional methods.

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Area of Science:

  • * Electrochemistry
  • * Neural Engineering
  • * Computational Modeling

Background:

  • * Electrode-electrolyte interface reactions limit neural stimulation safety and charge injection capacity (CIC).
  • * CIC is dependent on stimulus waveform for non-ideal capacitive electrodes.
  • * Traditional modeling uses discrete-element circuits, which can be limiting.

Purpose of the Study:

  • * To model charge injection dynamics for optimizing neural stimulation waveforms.
  • * To compare harmonic-balance (HB) analysis with discrete-element circuit approximations.
  • * To validate modeling with experimental data from iridium-oxide electrodes.

Main Methods:

  • * Harmonic-balance (HB) analysis of the complete circuit, including non-linear drivers.
  • * Comparison of HB analysis with discrete-element circuit models.
  • * Experimental validation using iridium-oxide electrodes and a photovoltaic circuit analog.

Main Results:

  • * HB analysis based on the full impedance spectrum simplifies modeling and improves accuracy.
  • * HB-based results showed better agreement with experimental data than discrete-element models.
  • * HB analysis accurately predicts circuit response for periodic and transient (burst) stimulation.

Conclusions:

  • * HB-based circuit analysis accurately models electrode-electrolyte interface dynamics for all pulsing schemes.
  • * This approach enables stimulus waveform optimization to maximize CIC based on impedance spectrum.
  • * This facilitates efficient and safe neural stimulation within electrochemical limits.