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'origine | English |
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Titre de la publication principale | Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology |
Éditeurs | Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro |
Maison d'édition | Springer Science and Business Media Deutschland GmbH |
Pages | 25-34 |
Nombre de pages | 10 |
ISBN (imprimé) | 9783030575656 |
DOI | |
Statut de publication | Published - 2021 |
Événement | 5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil Durée: oct. 22 2019 → oct. 24 2019 |
Séries de publication
Prénom | Smart Innovation, Systems and Technologies |
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Volume | 202 |
ISSN (imprimé) | 2190-3018 |
ISSN (électronique) | 2190-3026 |
Conference
Conference | 5th Brazilian Technology Symposium, BTSym 2019 |
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Pays/Territoire | Brazil |
Ville | Campinas |
Période | 10/22/19 → 10/24/19 |
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