AI Article Synopsis

  • The study compared the electrical performance of different electroretinography (ERG) electrodes, focusing on their impedance, noise levels, and stability over time.
  • Silver-based electrodes showed significantly lower impedance and noise compared to gold-based ones, indicating they perform better in terms of electrical properties.
  • The findings suggest that using silver electrodes can enhance the quality of clinical electrophysiology recordings, though noise levels are not affected by stabilization over time.

Article Abstract

Purpose: The aim of this study was to evaluate and compare the electrical performance and properties of commercially available electroretinography (ERG) electrodes.

Methods: A passive ionic model was used to measure impedance, noise, and potential drift in 10 types of ocular surface and skin ERG electrodes.

Results: The impedance for silver-based ocular electrodes are generally lower (range, 65.35-343.3 Ω) with smaller phase angles (range, -6.41° to -33.91°) than gold-based electrodes (impedance ranged from 285.95 Ω to 2.913 kΩ, and phase angle ranged from -59.65° to -70.01°). Silver-based ocular electrodes have less noise (median line noise of 6.48 x 10nV/Hz) than gold-based electrodes (median line noise of 2.26 x 10nV/Hz). Although silver-based electrodes usually achieve a drift rate less than 5 µV/s within 15 minutes, gold-base ocular electrode cannot achieve a stable potential. The exception is the RETeval strip type of silver electrode, which had an unusual drift at 20 minutes. The noise spectral density showed no change over time indicating that noise was not dependent on the stabilization of the electrode.

Conclusions: From the range of electrodes tested, lower impedance, lower capacitance, and lower noise was observed in silver-based electrodes. Stabilization of an electrode is effective against drift of the electrode potential difference but not the noise.

Translational Relevance: Application of electrodes with optimized materials improve the quality of clinical electrophysiology signals and efficiency of the recording.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414618PMC
http://dx.doi.org/10.1167/tvst.9.7.45DOI Listing

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