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

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...

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Autores principales:	Om Prakash Singh, Ismail M. El-Badawy, M. B. Malarvili
Formato:	article
Lenguaje:	EN
Publicado:	World Scientific Publishing 2021
Materias:	arduino board capnogram carbon dioxide sensor cardiorespiratory monitoring system Technology T Optics. Light QC350-467
Acceso en línea:	https://doaj.org/article/b87f3c18865a4087b987e8628b80658d
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spelling	oai:doaj.org-article:b87f3c18865a4087b987e8628b80658d2021-11-23T13:04:53ZDesign and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform1793-54581793-720510.1142/S1793545821500152https://doaj.org/article/b87f3c18865a4087b987e8628b80658d2021-11-01T00:00:00Zhttp://www.worldscientific.com/doi/epdf/10.1142/S1793545821500152https://doaj.org/toc/1793-5458https://doaj.org/toc/1793-7205The 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.Om Prakash SinghIsmail M. El-BadawyM. B. MalarviliWorld Scientific Publishingarticlearduino boardcapnogramcarbon dioxide sensorcardiorespiratorymonitoring systemTechnologyTOptics. LightQC350-467ENJournal of Innovative Optical Health Sciences, Vol 14, Iss 6, Pp 2150015-1-2150015-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	arduino board capnogram carbon dioxide sensor cardiorespiratory monitoring system Technology T Optics. Light QC350-467
spellingShingle	arduino board capnogram carbon dioxide sensor cardiorespiratory monitoring system Technology T Optics. Light QC350-467 Om Prakash Singh Ismail M. El-Badawy M. B. Malarvili Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
description	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.
format	article
author	Om Prakash Singh Ismail M. El-Badawy M. B. Malarvili
author_facet	Om Prakash Singh Ismail M. El-Badawy M. B. Malarvili
author_sort	Om Prakash Singh
title	Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
title_short	Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
title_full	Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
title_fullStr	Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
title_full_unstemmed	Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform
title_sort	design and validation of a handheld capnography device for cardiopulmonary assessment based on the arduino platform
publisher	World Scientific Publishing
publishDate	2021
url	https://doaj.org/article/b87f3c18865a4087b987e8628b80658d
work_keys_str_mv	AT omprakashsingh designandvalidationofahandheldcapnographydeviceforcardiopulmonaryassessmentbasedonthearduinoplatform AT ismailmelbadawy designandvalidationofahandheldcapnographydeviceforcardiopulmonaryassessmentbasedonthearduinoplatform AT mbmalarvili designandvalidationofahandheldcapnographydeviceforcardiopulmonaryassessmentbasedonthearduinoplatform
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Design and validation of a handheld capnography device for cardiopulmonary assessment based on the Arduino platform

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