Ontology-Driven IoT System for Monitoring Hypertension

Pedro Lopes de Souza, Wanderley Lopes de Souza, Luís Ferreira Pires, João Luiz Rebelo Moreira, Ronitti Juner da Silva Rodrigues, Ricardo Rodrigues Ciferri

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
42 Downloads (Pure)

Abstract

Hypertension is a noncommunicable disease (NCD) that causes global concern, high costs and a high number of deaths. Internet of Things, Ubiquitous Computing, and Cloud Computing enable the development of systems for remote and real-time monitoring of patients affected with NCDs like hypertension. This paper reports on a system for monitoring hypertension patients that was built by employing these techniques. This system allows the vital signs of a patient (blood pressure, heart rate, body temperature) to be captured via sensors built in a wearable device similar to a wristwatch. These signals are transmitted to the patient's mobile device for processing, and the generated clinical data are sent to the cloud to be properly presented and analysed by the health professionals responsible for the patient. To deal with semantic interoperability issues that arise when multiple different devices and system components must interoperate, a semantic model was conceived for this system in terms of ontologies for diseases and devices. This paper also presents the semantic module that we developed and implemented in the cloud to perform reasoning based on this model, demonstrating the potential benefits of incorporating semantic technologies in our system.

Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Enterprise Information Systems - Volume 1, ICEIS 2023
EditorsJoaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
PublisherSCITEPRESS
Pages757-767
Number of pages11
ISBN (Electronic)9789897586484
DOIs
Publication statusPublished - 2023
Event25th International Conference on Enterprise Information Systems, ICEIS 2023 - Prague, Czech Republic
Duration: 24 Apr 202326 Apr 2023
Conference number: 25

Publication series

NameInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
PublisherScitePress
Volume1
ISSN (Electronic)2184-4992

Conference

Conference25th International Conference on Enterprise Information Systems, ICEIS 2023
Abbreviated titleICEIS 2023
Country/TerritoryCzech Republic
CityPrague
Period24/04/2326/04/23

Keywords

  • Cloud computing
  • Healthcare
  • Internet of Things (IoT)
  • Interoperability
  • Ontology
  • Ubiquitous computing

Fingerprint

Dive into the research topics of 'Ontology-Driven IoT System for Monitoring Hypertension'. Together they form a unique fingerprint.

Cite this