TY - GEN
T1 - Mobile Application for Remote Monitoring of Vital Signs and Physical Activity of Pregnant Women in Peru
AU - Delgado, Dylan
AU - Donayre, Jose
AU - Copaja, Richard
N1 - Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Certain investigations have shown that, during the pregnancy period, pregnant women are exposed to various pathologies such as perinatal depression, gestational hypertension and excessive gestational weight gain, which lead to a notable mortality rate. This paper presents GEST, a mobile application which supports the control of prenatal health through the collection of data such as vital signs and physical activity that the mHealth Google Fit technology allows to collect. With the help of notifications, chat conversations, educative content (psychoprophylaxis guides) and dynamic graphics, GEST allows both pregnant women to achieve a healthier pregnancy and healthcare professionals to respond to vital alarm signs that represent a considerable risk for pregnant women, reducing the need for medical appointments. Without depending on a health center, this system is meant for private use, since it allows data access between the healthcare professional and her pregnant patient through a link code. As a result of the experiment, it was shown that the level of satisfaction of the GEST users was high due to the ease of use and the high precision of the results.
AB - Certain investigations have shown that, during the pregnancy period, pregnant women are exposed to various pathologies such as perinatal depression, gestational hypertension and excessive gestational weight gain, which lead to a notable mortality rate. This paper presents GEST, a mobile application which supports the control of prenatal health through the collection of data such as vital signs and physical activity that the mHealth Google Fit technology allows to collect. With the help of notifications, chat conversations, educative content (psychoprophylaxis guides) and dynamic graphics, GEST allows both pregnant women to achieve a healthier pregnancy and healthcare professionals to respond to vital alarm signs that represent a considerable risk for pregnant women, reducing the need for medical appointments. Without depending on a health center, this system is meant for private use, since it allows data access between the healthcare professional and her pregnant patient through a link code. As a result of the experiment, it was shown that the level of satisfaction of the GEST users was high due to the ease of use and the high precision of the results.
KW - eHealth
KW - exercise
KW - heart rate
KW - mHealth
KW - mobile app
KW - obstetrics
KW - pregnancy complications
KW - prenatal care
KW - remote monitoring
KW - telehealth
KW - wearable devices
UR - https://www.scopus.com/pages/publications/85172312515
M3 - Contribución a la conferencia
AN - SCOPUS:85172312515
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
Y2 - 19 July 2023 through 21 July 2023
ER -