Quantification of a low-cost stretchable conductive sensor using an expansion/contraction simulator machine : a step towards validation of a noninvasive cardiac and respiration monitoring prototype

Elham Shabani Varaki, Paul P. Breen, Gaetano D. Gargiulo

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The use of wearable sensors in health monitoring is increasing dramatically, largely due to their convenience and low-cost. Understanding the accuracy of any given sensor is paramount to avoid potential misdiagnosis. Commercially available electro-resistive band (ERB) sensors have been integrated into several newly developed wearable devices with a view to using these sensors to monitor a range of respiratory and cardiovascular metrics. Quantification of the ERBs is a necessary to step towards validation of these prototypes, as it provides valuable information, which could be exploited for compensation and ultimately, for improvement of their performance. Here, we present an analysis of the ERB sensors using an expansion/contraction simulator machine. Using the developed rig, the characteristics of four ERBs were compared with a linear displacement sensor (string potentiometer) during continuous use over the course of four-and-a-half days to investigate the error and nonlinearity of the ERBs. The analysis of the recorded data includes calculation and comparison of the total harmonic distortions of the two sensors to quantify ERB nonlinearity. Moreover, comparisons between the peak-to-peak voltages and signal-to-noise ratios of the ERB and string potentiometer demonstrate the effect nonlinearity on these factors. This paper demonstrates the nonlinearity of ERBs and highlights the implications for their use in practice.
Original languageEnglish
Article number22
Number of pages14
JournalMachines: Machinery and Automation
Volume5
Issue number4
Publication statusPublished - 1 Dec 2017

Bibliographical note

Publisher Copyright:
© 2017 by the authors.

Open Access - Access Right Statement

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

Keywords

  • biosensors
  • heart
  • respiration

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