Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform

Om Prakash Singh*, Ismail M. El-Badawy, M. B. Malarvili*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The design of a handheld capnography device is in great demand because of its effective and practical uses in all cardiac arrest resuscitations, according to the recommendation of the American Heart Association. Herein, a handheld capnography device that can be used in clinical settings and the home environment is reported. The proposed device was developed by using an infrared CO2 sensor, Arduino Mega2560, and a high-resolution display (2.8"). Furthermore, two rechargeable batteries (7.6V, 0.99A) and a secure digital card with a capacity of 16GB were incorporated to increase the portability and usability of the device. Algorithms were implemented to measure standard features, namely, inspired CO2 (ICO2), end-tidal CO2 (EtCO2), and respiratory rate (RR). The features of 15 healthy subjects were recorded by using the developed prototype and the standard capnography device (CapnostreamTM20 Model CS08798). Validation was performed with Bland-Altman plots. Findings revealed that mean differences ± standard deviations for the set limits of ICO2, EtCO2 and RR were 0.29 ± 1.30 millimeters of mercury (mmHg), 0.15 ± 1.77 mmHg and 0.40 ± 0.97 breaths per minute (bpm), respectively. Most of the differences among device measurements across all features fell within the 95% limits of agreement. Thus, the developed device may help manage respiratory distress conditions in and outside of a hospital setting.

Original languageEnglish
Article number2150015
JournalJournal of Innovative Optical Health Sciences
Volume14
Issue number6
DOIs
Publication statusPublished - 1 Nov 2021
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Medicine (miscellaneous)
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

Keywords

  • Arduino board
  • capnogram
  • carbon dioxide sensor
  • cardiorespiratory
  • monitoring system

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