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• W2795042655 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." @default.
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• W2795042655 date "2017-09-14" @default.
• W2795042655 modified "2023-09-26" @default.
• W2795042655 title "Characterizing Dry Electrodes Impedance by Parametric Modeling for Arm Wearable Long-term Cardiac Rhythm Monitoring" @default.
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• W2795042655 doi "https://doi.org/10.22489/cinc.2017.130-461" @default.
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