Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring

A Bosnjak, P Linares, JAD McLaughlin, OJ Escalona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

There are cardiac patients requiring their ECG to be constantly monitored. The quality of long-term electrical activity feature measurements in the ECG may rely considerably on the electrodes and their long-term skin interface performance stability; thus, affecting the accuracy of clinical diagnosis and treatment. Particularly, misbehavior of the skin-electrode impedance (Zse) may cause a large degree of distortion in the ECG signal; therefore, it is important to analyze, characterize and provide a reliable modeling of any emerging dry electrode technology being used for longterm ECG monitoring. In this paper we present a useful methodology for modeling the Zse behavior. With the objective to obtain these parameters, we tested four methods for fitting curves: a) 1-time constant impedance of a circuit. b) 2-time constant impedance measurement.c) A fractional calculus with 1-time constant impedance, and d) A fractional calculus with 2-time constant impedance. As results we obtained that the 2-time constant circuit implementation of Zse using a fractional calculus proved to be best fitted to the phase plot measured with the Solartron analyzer.
Original languageEnglish
Title of host publicationUnknown Host Publication
EditorsAlan Murray
PublisherComputing in Cardiology
Number of pages4
Volume44
Publication statusAccepted/In press - 11 Oct 2017
Event44th Computing in Cardiology Conference, 2017, Rennes, France - Rennes, France
Duration: 11 Oct 2017 → …

Conference

Conference44th Computing in Cardiology Conference, 2017, Rennes, France
Period11/10/17 → …

Keywords

  • ECG long term monitoring
  • dry electrodes
  • skin-electrode impedance
  • polyurethane
  • AgCl
  • 3-electrodes method
  • impedance spectroscopy
  • parametric modelling.

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    Bosnjak, A., Linares, P., McLaughlin, JAD., & Escalona, OJ. (Accepted/In press). Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring. In A. Murray (Ed.), Unknown Host Publication (Vol. 44). Computing in Cardiology.