Telemetric Model for Passive Resistive Sensors in Biomedical Applications

Abstract

The present work describes a telemetric resistive sensor to be exploited in biomedical applications, in order to monitor vital parameters in real time. The corresponding telemetry technique is based on an impedance measurement performed at its input terminal and on a theoretical study which identifies a complex mathematical relation between sensor's resistance and impedance phase value at a specific frequency point. A model for this system is proposed, analysed and discussed, while the telemetric technique based on it is described

Study on a telemetrie system that works with an inkjet-printed resistive strain gauge

“…It shows that, given a fixed distance between the inductors, minimum decreases when applied strain augments, because sensor resistance grows and affects whole system impedance. This agrees with what is found in the literature [11]. For a strain variation of about 0.27 mm, we measured an average phase decrease of about 0.12 degrees, which lies in the same order of magnitude than results found from previous analyses [11].…”

“…This agrees with what is found in the literature [11]. For a strain variation of about 0.27 mm, we measured an average phase decrease of about 0.12 degrees, which lies in the same order of magnitude than results found from previous analyses [11]. In addition, such trend presents a very good linearity, as a straight line is effective in fitting suitably the measures.…”

“…Impedance depends on system elements, i.e. inductors' equivalent parameters (which have been listed in Table I), capacitance in parallel to sensing inductor and sensor resistance [11].…”

“…On the contrary, very limited works focus their attention on telemetric systems that operate with passive sensors relying on a resistive transduction principle. In [10][11], we started working on modeling such devices, aiming at extending measurement capabilities of telemetric systems, currently limited to the use of capacitive [8] and inductive [9] sensors.…”