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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
  • Universidad Peruana de Ciencias Aplicadas
  • Rowe School of Business

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
EditorsYuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
PublisherSpringer Science and Business Media Deutschland GmbH
Pages25-34
Number of pages10
ISBN (Print)9783030575656
DOIs
StatePublished - 2021
Event5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil
Duration: 22 Oct 201924 Oct 2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume202
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference5th Brazilian Technology Symposium, BTSym 2019
Country/TerritoryBrazil
CityCampinas
Period22/10/1924/10/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Framingham´s score
  • Physiological variable
  • Presumptive diagnosis
  • Risk factor
  • Wearable device

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