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 language | English |
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Title of host publication | Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology |
Editors | Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 25-34 |
Number of pages | 10 |
ISBN (Print) | 9783030575656 |
DOIs | |
Publication status | Published - 2021 |
Event | 5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil Duration: Oct 22 2019 → Oct 24 2019 |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Volume | 202 |
ISSN (Print) | 2190-3018 |
ISSN (Electronic) | 2190-3026 |
Conference
Conference | 5th Brazilian Technology Symposium, BTSym 2019 |
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Country/Territory | Brazil |
City | Campinas |
Period | 10/22/19 → 10/24/19 |
Bibliographical note
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