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Wearable technology model to control and monitor hypertension during pregnancy

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Authors
Lopez, Betsy Diamar Balbin
Aguirre, Jimmy Alexander Armas
Coronado, Diego Antonio Reyes
Gonzalez, Paola A.
Issue Date
2018-06-27
Keywords
Wearable technology
Mobile health application
Pregnancy
Hypertension
Data analytics
xmlui.metadata.dc.contributor.email
betsybalbin@gmail.com
jimmy.armas@upc.pe
diegoreyes1212@gmail.com
paola.gonzalez@dal.ca

Metadata
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Publisher
IEEE Computer Society
URI
http://hdl.handle.net/10757/624723
DOI
10.23919/CISTI.2018.8399200
Additional Links
https://ieeexplore.ieee.org/document/8399200/
xmlui.metadata.dc.relation
Iberian Conference on Information Systems and Technologies, CISTI
Abstract
In this paper, we proposed a wearable technology model to control and monitor hypertension during pregnancy. We enhanced prior models by adding a series of health parameters that could potentially prevent and correct hypertension disorders in pregnancy. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. In this process, we also assessed the current technologies and systems applications offered in the market. The model consists of four phases: 1. The health parameters of the patient are collected through a wearable device; 2. The data is received by a mobile application; 3. The data is stored in a cloud database; 4. The data is analyzed on real-time using a data analytics application. The model was validated and piloted in a public hospital in Lima, Peru. The preliminary results showed an increased-on number of controlled patients by 11% and a reduction of maternal deaths by 7%, among other relevant health factors that allowed healthcare providers to take corrective and preventive actions.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/restrictedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
978-989-98434-8-6
ae974a485f413a2113503eed53cd6c53
10.23919/CISTI.2018.8399200
Scopus Count
Collections
Ingeniería de Sistemas y Computación

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