Literature DB >> 27231725

On Using Residual Voltage to Estimate Electrode Model Parameters for Damage Detection.

Ashwati Krishnan1, Shawn K Kelly2.   

Abstract

Current technology has enabled a significant increase in the number of electrodes for electrical stimulation. For large arrays of electrodes, it becomes increasingly difficult to monitor and detect failures at the stimulation site. In this paper, we propose the idea that the residual voltage from a biphasic electrical stimulation pulse can serve to recognize damage at the electrode-tissue interface. We use a simple switch circuit approach to estimate the relaxation time constant of the electrode model, which essentially models the residual voltage in biphasic electrical stimulation, and compare it with standard electrode characterization techniques. Out of 15 electrodes in a polyimide-based SIROF array, our approach highlights 3 damaged electrodes, consistent with measurements made using cyclic voltammetry and electrode impedance spectroscopy.

Entities:  

Year:  2015        PMID: 27231725      PMCID: PMC4878147          DOI: 10.1109/BioCAS.2015.7348354

Source DB:  PubMed          Journal:  IEEE Biomed Circuits Syst Conf


  5 in total

Review 1.  Electrical stimulation of excitable tissue: design of efficacious and safe protocols.

Authors:  Daniel R Merrill; Marom Bikson; John G R Jefferys
Journal:  J Neurosci Methods       Date:  2005-02-15       Impact factor: 2.390

Review 2.  Neural stimulation and recording electrodes.

Authors:  Stuart F Cogan
Journal:  Annu Rev Biomed Eng       Date:  2008       Impact factor: 9.590

Review 3.  Historical evolution of circuit models for the electrode-electrolyte interface.

Authors:  L A Geddes
Journal:  Ann Biomed Eng       Date:  1997 Jan-Feb       Impact factor: 3.934

4.  On the cause and control of residual voltage generated by electrical stimulation of neural tissue.

Authors:  Ashwati Krishnan; Shawn K Kelly
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Development and implantation of a minimally invasive wireless subretinal neurostimulator.

Authors:  Douglas B Shire; Shawn K Kelly; Jinghua Chen; Patrick Doyle; Marcus D Gingerich; Stuart F Cogan; William A Drohan; Oscar Mendoza; Luke Theogarajan; John L Wyatt; Joseph F Rizzo
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-28       Impact factor: 4.538

  5 in total
  1 in total

1.  Residual voltage as an ad-hoc indicator of electrode damage in biphasic electrical stimulation.

Authors:  Ashwati Krishnan; Mats Forssell; Zhanhong Du; X Tracy Cui; Gary K Fedder; Shawn K Kelly
Journal:  J Neural Eng       Date:  2021-08-12       Impact factor: 5.043

  1 in total

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