Digitization and analysis of capnography using image processing technique

The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spont...

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Main Authors: Vijayam, Bhuwaneswaran, Supriyanto, Eko, Krishnan, Malarvili Bala
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
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Online Access:http://eprints.utm.my/id/eprint/97801/1/MalarviliBala2021_DigitizationandAnalysisofCapnographyUsingImage.pdf
http://eprints.utm.my/id/eprint/97801/
http://dx.doi.org/10.3389/fdgth.2021.723204
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spelling my.utm.978012022-10-31T08:58:37Z http://eprints.utm.my/id/eprint/97801/ Digitization and analysis of capnography using image processing technique Vijayam, Bhuwaneswaran Supriyanto, Eko Krishnan, Malarvili Bala Q Science (General) The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spontaneous respiration, and patency of airways outside of its typical usage in the anesthetic and emergency medicine field. The parameters of the capnograph could be classified as carbon dioxide (CO2) concentration and time points and coordinates, slopes angle, volumetric studies, and functional transformation of wave data. Up to date, there is no gold standard device for the calculation of the capnographic parameters. Capnography digitization using the image processing technique could serve as an option. From the algorithm we developed, eight identical breath waves were tested by four investigators. The values of the parameters chosen showed no significant difference between investigators. Although there were no significant differences between any of the parameters tested, there were a few related parameters that were not calculable. Further testing after refinement of the algorithm could be done. As more capnographic parameters are being derived and rediscovered by clinicians and researchers alike for both lung and non-lung-related diseases, there is a dire need for data analysis and interpretation. Although the proposed algorithm still needs minor refinements and further large-scale testing, we proposed that the digitization of the capnograph via image processing technique could serve as an intellectual option as it is fast, convenient, easy to use, and efficient. Frontiers Media S.A. 2021-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97801/1/MalarviliBala2021_DigitizationandAnalysisofCapnographyUsingImage.pdf Vijayam, Bhuwaneswaran and Supriyanto, Eko and Krishnan, Malarvili Bala (2021) Digitization and analysis of capnography using image processing technique. Frontiers in Digital Health, 3 (NA). pp. 1-8. ISSN 2673-253X http://dx.doi.org/10.3389/fdgth.2021.723204 DOI:10.3389/fdgth.2021.723204
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Vijayam, Bhuwaneswaran
Supriyanto, Eko
Krishnan, Malarvili Bala
Digitization and analysis of capnography using image processing technique
description The study of carbon dioxide expiration is called capnometry. The graphical representation of capnometry is called capnography. There is a growing interest in the usage of capnography as the usage has expanded toward the study of metabolism, circulation, lung perfusion and diffusion, quality of spontaneous respiration, and patency of airways outside of its typical usage in the anesthetic and emergency medicine field. The parameters of the capnograph could be classified as carbon dioxide (CO2) concentration and time points and coordinates, slopes angle, volumetric studies, and functional transformation of wave data. Up to date, there is no gold standard device for the calculation of the capnographic parameters. Capnography digitization using the image processing technique could serve as an option. From the algorithm we developed, eight identical breath waves were tested by four investigators. The values of the parameters chosen showed no significant difference between investigators. Although there were no significant differences between any of the parameters tested, there were a few related parameters that were not calculable. Further testing after refinement of the algorithm could be done. As more capnographic parameters are being derived and rediscovered by clinicians and researchers alike for both lung and non-lung-related diseases, there is a dire need for data analysis and interpretation. Although the proposed algorithm still needs minor refinements and further large-scale testing, we proposed that the digitization of the capnograph via image processing technique could serve as an intellectual option as it is fast, convenient, easy to use, and efficient.
format Article
author Vijayam, Bhuwaneswaran
Supriyanto, Eko
Krishnan, Malarvili Bala
author_facet Vijayam, Bhuwaneswaran
Supriyanto, Eko
Krishnan, Malarvili Bala
author_sort Vijayam, Bhuwaneswaran
title Digitization and analysis of capnography using image processing technique
title_short Digitization and analysis of capnography using image processing technique
title_full Digitization and analysis of capnography using image processing technique
title_fullStr Digitization and analysis of capnography using image processing technique
title_full_unstemmed Digitization and analysis of capnography using image processing technique
title_sort digitization and analysis of capnography using image processing technique
publisher Frontiers Media S.A.
publishDate 2021
url http://eprints.utm.my/id/eprint/97801/1/MalarviliBala2021_DigitizationandAnalysisofCapnographyUsingImage.pdf
http://eprints.utm.my/id/eprint/97801/
http://dx.doi.org/10.3389/fdgth.2021.723204
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score 13.160551