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

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsAlan Murray
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 → …

Fingerprint

Electrocardiography
Electrodes
Monitoring
Skin
Networks (circuits)
Curve fitting

Keywords

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

Cite this

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)
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title = "Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring",
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.",
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 2017, Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring. in A Murray (ed.), Unknown Host Publication. vol. 44, 44th Computing in Cardiology Conference, 2017, Rennes, France, 11/10/17.

Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring. / Bosnjak, A; Linares, P; McLaughlin, JAD; Escalona, OJ.

Unknown Host Publication. ed. / Alan Murray. Vol. 44 2017.

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

TY - GEN

T1 - Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring

AU - Bosnjak, A

AU - Linares, P

AU - McLaughlin, JAD

AU - Escalona, OJ

PY - 2017/10/11

Y1 - 2017/10/11

N2 - 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.

AB - 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.

KW - ECG long term monitoring

KW - dry electrodes

KW - skin-electrode impedance

KW - polyurethane

KW - AgCl

KW - 3-electrodes method

KW - impedance spectroscopy

KW - parametric modelling.

M3 - Conference contribution

VL - 44

BT - Unknown Host Publication

A2 - Murray, Alan

ER -