Wearable Technology for Presumptive Diagnosis of High Blood Pressure Based on Risk Factors

Eithel Josue Meza Prada, Helgar Miguel Angel Herrera Agullar, Jimmy Armas-Aguirre, Paola A. Gonzalez

Résultat de recherche: Conference contribution

Résumé

In this paper, we propose a technological solution integrated to a wearable device that allows measuring some physiological variables such as body mass index (BMI), steps walked in a determined day, burned calories, blood pressure and other risk factors associated with the Framingham´s score. The objective of this article is to identify the evolutionary pattern of the Framingham’s score each day in order to determine a presumptive diagnosis of high blood pressure. The technological solution was validated in the social insurance of a public hospital in Lima, Perú. The preliminary results obtained in a diagnostic test show a sensitivity level of 83.33%, a level of precision better than a traditional Framingham´s score for presumptive diagnosis of high blood pressure. Our proposal contributes to the patient’s awareness about the bad routine habits related to lifestyle and promotes the empowerment of data in order to make some changes that influence on the reduction of cardiovascular disease risk.

Langue d'origineEnglish
Titre de la publication principaleProceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
ÉditeursYuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
Maison d'éditionSpringer Science and Business Media Deutschland GmbH
Pages25-34
Nombre de pages10
ISBN (imprimé)9783030575656
DOI
Statut de publicationPublished - 2021
Événement5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil
Durée: oct. 22 2019oct. 24 2019

Séries de publication

PrénomSmart Innovation, Systems and Technologies
Volume202
ISSN (imprimé)2190-3018
ISSN (électronique)2190-3026

Conference

Conference5th Brazilian Technology Symposium, BTSym 2019
Pays/TerritoireBrazil
VilleCampinas
Période10/22/1910/24/19

Note bibliographique

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

  • General Decision Sciences
  • General Computer Science

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