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Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator

The recent Coronavirus disease 2019 (COVID-19) pandemic displayed weaknesses in the healthcare infrastructures worldwide and exposed a lack of specialized personnel to cover the demands of a massive calamity. We have developed a portable ventilator that uses real-time vitals read from the patient to...

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Autores principales: Pulido Morales, Leidy Lorena, Buitrago Romero, Juan Sebastian, Ardila Sanchez, Ismael A., Yepes-Calderon, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925877/
https://www.ncbi.nlm.nih.gov/pubmed/36798112
http://dx.doi.org/10.12688/f1000research.127647.1
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author Pulido Morales, Leidy Lorena
Buitrago Romero, Juan Sebastian
Ardila Sanchez, Ismael A.
Yepes-Calderon, Fernando
author_facet Pulido Morales, Leidy Lorena
Buitrago Romero, Juan Sebastian
Ardila Sanchez, Ismael A.
Yepes-Calderon, Fernando
author_sort Pulido Morales, Leidy Lorena
collection PubMed
description The recent Coronavirus disease 2019 (COVID-19) pandemic displayed weaknesses in the healthcare infrastructures worldwide and exposed a lack of specialized personnel to cover the demands of a massive calamity. We have developed a portable ventilator that uses real-time vitals read from the patient to estimate -- through artificial intelligence -- the optimal operation point. The ventilator has redundant telecommunication capabilities; therefore, the remote assistance model can protect specialists and relatives from highly contagious agents. Additionally, we have designed a system that automatically publishes information in a proprietary cloud centralizer to keep physicians and relatives informed. The system was tested in a residential last-mile connection, and transaction times below the second were registered. The timing scheme allows us to operate up to 200 devices concurrently on these lowest-specification transmission control protocol/internet protocol (TCP/IP) services, promptly transmitting data for online processing and reporting. The ventilator is a proof of concept of automation that has behavioral and cognitive inputs to cheaply, yet reliably, extend the installed capacity of the healthcare systems and multiply the response of the skilled medical personnel to cover high-demanding scenarios and improve service quality.
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spelling pubmed-99258772023-02-15 Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator Pulido Morales, Leidy Lorena Buitrago Romero, Juan Sebastian Ardila Sanchez, Ismael A. Yepes-Calderon, Fernando F1000Res Method Article The recent Coronavirus disease 2019 (COVID-19) pandemic displayed weaknesses in the healthcare infrastructures worldwide and exposed a lack of specialized personnel to cover the demands of a massive calamity. We have developed a portable ventilator that uses real-time vitals read from the patient to estimate -- through artificial intelligence -- the optimal operation point. The ventilator has redundant telecommunication capabilities; therefore, the remote assistance model can protect specialists and relatives from highly contagious agents. Additionally, we have designed a system that automatically publishes information in a proprietary cloud centralizer to keep physicians and relatives informed. The system was tested in a residential last-mile connection, and transaction times below the second were registered. The timing scheme allows us to operate up to 200 devices concurrently on these lowest-specification transmission control protocol/internet protocol (TCP/IP) services, promptly transmitting data for online processing and reporting. The ventilator is a proof of concept of automation that has behavioral and cognitive inputs to cheaply, yet reliably, extend the installed capacity of the healthcare systems and multiply the response of the skilled medical personnel to cover high-demanding scenarios and improve service quality. F1000 Research Limited 2022-12-23 /pmc/articles/PMC9925877/ /pubmed/36798112 http://dx.doi.org/10.12688/f1000research.127647.1 Text en Copyright: © 2022 Pulido Morales LL et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method Article
Pulido Morales, Leidy Lorena
Buitrago Romero, Juan Sebastian
Ardila Sanchez, Ismael A.
Yepes-Calderon, Fernando
Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title_full Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title_fullStr Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title_full_unstemmed Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title_short Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator
title_sort turning any bed into an intensive care unit with the internet of things and artificial intelligence technology. presenting the enhanced mechanical ventilator
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925877/
https://www.ncbi.nlm.nih.gov/pubmed/36798112
http://dx.doi.org/10.12688/f1000research.127647.1
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