Name
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 (Z(SE)) 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 long term ECG monitoring. In this paper we present a useful methodology for modeling the Z(SE) 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 Z(SE) using a fractional calculus proved to be best fitted to the phase plot measured with the Solartron analyzer. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.22489/CinC.2017.130-461 | 2017 COMPUTING IN CARDIOLOGY (CINC) |
Field | DocType | Volume |
Parametric model,Wearable computer,Electrical impedance,Fractional calculus,Dielectric spectroscopy,Acoustics,Spectrum analyzer,Distortion,Materials science,Electrode | Conference | 44 |
ISSN | Citations | PageRank |
2325-8861 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Bosnjak | 1 | 0 | 0.68 |
| Pedro Linares | 2 | 0 | 0.34 |
| McLaughlin, J. | 3 | 4 | 11.37 |
| Omar Escalona | 4 | 0 | 0.34 |