Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)

The simultaneity between the current information and communication technologies (ICT), which with the current industrial revolution classified as 4.0, aims that all the everyday objects with which a person interacts allow to provide relevant information of a specific environment through Internet. Th...

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Autores:
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/24270
Acceso en línea:
https://doi.org/10.1007/978-3-030-30648-9_171
https://repository.urosario.edu.co/handle/10336/24270
Palabra clave:
Biomedical engineering
Biophysics
Biosensors
Computerized tomography
Diagnosis
Web services
Clinical engineering
Computerized axial tomographies
Industrial revolutions
Information and Communication Technologies
Internet of thing (IOT)
Operating parameters
Probabilistic strategy
Real time monitoring system
Internet of things
Bioinstrumentation
Clinical engineering
Computerized axial tomography
Internet of Things
Rights
License
http://purl.org/coar/access_right/c_abf2
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oai_identifier_str oai:repository.urosario.edu.co:10336/24270
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)Biomedical engineeringBiophysicsBiosensorsComputerized tomographyDiagnosisWeb servicesClinical engineeringComputerized axial tomographiesIndustrial revolutionsInformation and Communication TechnologiesInternet of thing (IOT)Operating parametersProbabilistic strategyReal time monitoring systemInternet of thingsBioinstrumentationClinical engineeringComputerized axial tomographyInternet of ThingsThe simultaneity between the current information and communication technologies (ICT), which with the current industrial revolution classified as 4.0, aims that all the everyday objects with which a person interacts allow to provide relevant information of a specific environment through Internet. The field of medicine and more specifically, medical devices allow us to contemplate a shared vision of interconnected sensors that can improve medical care services, with the possibility of the appearance of new technologies such as the Internet of Things (IoT) promise to be the field to follow in the near future. This paper offers an approach to the implementation of a real-time monitoring system on the main variables of a Computerized Axial Tomography (CAT) in the imaging service of a fourth level hospital through the IoT. The information obtained about the different sensors implemented in the medical team, suggested relevant information about the importance of monitoring the main variables that are directly related to the operating specifications suggested by the manufacturer of the medical equipment. The data collected were analyzed using the “regression” diagnostic test as a probabilistic strategy to look for a predictive value that suggests a possible failure of the medical team. The results showed that the information collected suggests the importance of monitoring the operating parameters of the CAT continuously given the behavior of some atypical data that were obtained, although there was no failure in the time window where the CAT was performed. © 2020, Springer Nature Switzerland AG.Springer20202020-05-26T00:10:56Zinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fapplication/pdfhttps://doi.org/10.1007/978-3-030-30648-9_1712006https://repository.urosario.edu.co/handle/10336/24270instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURenghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075686018&doi=10.1007%2f978-3-030-30648-9_171&partnerID=40&md5=2e87523fe4bb54fae6ebb58c95e626d1http://purl.org/coar/access_right/c_abf2Cadena O.P.Preciado C.G.Charry O.J.P.Cruz A.N.Hernández N.P.C.Beltran A.Sarmiento-Rojas J.Quiroga-Torres, Daniel-AlejandroAya-Parra P.-A.oai:repository.urosario.edu.co:10336/242702022-05-02T07:37:16Z
dc.title.none.fl_str_mv Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
title Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
spellingShingle Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
Biomedical engineering
Biophysics
Biosensors
Computerized tomography
Diagnosis
Web services
Clinical engineering
Computerized axial tomographies
Industrial revolutions
Information and Communication Technologies
Internet of thing (IOT)
Operating parameters
Probabilistic strategy
Real time monitoring system
Internet of things
Bioinstrumentation
Clinical engineering
Computerized axial tomography
Internet of Things
title_short Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
title_full Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
title_fullStr Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
title_full_unstemmed Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
title_sort Monitoring of Critical Variables in the Imaging Service from the Internet of Things (IoT)
dc.subject.none.fl_str_mv Biomedical engineering
Biophysics
Biosensors
Computerized tomography
Diagnosis
Web services
Clinical engineering
Computerized axial tomographies
Industrial revolutions
Information and Communication Technologies
Internet of thing (IOT)
Operating parameters
Probabilistic strategy
Real time monitoring system
Internet of things
Bioinstrumentation
Clinical engineering
Computerized axial tomography
Internet of Things
topic Biomedical engineering
Biophysics
Biosensors
Computerized tomography
Diagnosis
Web services
Clinical engineering
Computerized axial tomographies
Industrial revolutions
Information and Communication Technologies
Internet of thing (IOT)
Operating parameters
Probabilistic strategy
Real time monitoring system
Internet of things
Bioinstrumentation
Clinical engineering
Computerized axial tomography
Internet of Things
description The simultaneity between the current information and communication technologies (ICT), which with the current industrial revolution classified as 4.0, aims that all the everyday objects with which a person interacts allow to provide relevant information of a specific environment through Internet. The field of medicine and more specifically, medical devices allow us to contemplate a shared vision of interconnected sensors that can improve medical care services, with the possibility of the appearance of new technologies such as the Internet of Things (IoT) promise to be the field to follow in the near future. This paper offers an approach to the implementation of a real-time monitoring system on the main variables of a Computerized Axial Tomography (CAT) in the imaging service of a fourth level hospital through the IoT. The information obtained about the different sensors implemented in the medical team, suggested relevant information about the importance of monitoring the main variables that are directly related to the operating specifications suggested by the manufacturer of the medical equipment. The data collected were analyzed using the “regression” diagnostic test as a probabilistic strategy to look for a predictive value that suggests a possible failure of the medical team. The results showed that the information collected suggests the importance of monitoring the operating parameters of the CAT continuously given the behavior of some atypical data that were obtained, although there was no failure in the time window where the CAT was performed. © 2020, Springer Nature Switzerland AG.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-05-26T00:10:56Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.identifier.none.fl_str_mv https://doi.org/10.1007/978-3-030-30648-9_171
2006
https://repository.urosario.edu.co/handle/10336/24270
url https://doi.org/10.1007/978-3-030-30648-9_171
https://repository.urosario.edu.co/handle/10336/24270
identifier_str_mv 2006
dc.language.none.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv instname:Universidad del Rosario
reponame:Repositorio Institucional EdocUR
instname_str Universidad del Rosario
institution Universidad del Rosario
reponame_str Repositorio Institucional EdocUR
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