Bibliographic citations
This is an automatically generated citacion. Modify it if you see fit
Flores, A., Malqui, R. (2022). Sistema de monitoreo de contracciones en mujeres embarazadas usando wearables [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/663421
Flores, A., Malqui, R. Sistema de monitoreo de contracciones en mujeres embarazadas usando wearables [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/663421
@misc{renati/401495,
title = "Sistema de monitoreo de contracciones en mujeres embarazadas usando wearables",
author = "Malqui Torres, Ricardo Enrique",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
Title: Sistema de monitoreo de contracciones en mujeres embarazadas usando wearables
Other Titles: Contraction monitoring system in pregnant women using wearables
Advisor(s): Armas Aguirre, Jimmy Alexander
Keywords: Parto prematuro; Electromiografía; Contracciones uterinas; Wearables; Preterm birth; Electromiography; Uterine contractions; Wearable
OCDE field: http://purl.org/pe-repo/ocde/ford#2.00.00; https://purl.org/pe-repo/ocde/ford#2.02.04
Issue Date: 12-Oct-2022
Institution: Universidad Peruana de Ciencias Aplicadas (UPC)
Abstract: En la actualidad, las gestantes atraviesan diversas dificultades para usar los servicios obstétricos, entre las principales se encuentra la lejanía de sus domicilios a los centros médicos, manejo ineficiente y desabastecimiento de materiales y personal especializado para la atención de estas personas y la demora en la atención frente una emergencia obstétrica. Estas dificultades en algunos casos pueden ocasionar que la detección de anomalías durante el embarazo no sea oportuna y que la vida de la madre y el bebé peligren.
Al realizarse una revisión detallada de la literatura, se pudo identificar la oportunidad de desarrollar una solución tecnológica con sensores de bajo costo, una aplicación móvil y una técnica para medir contracciones uterinas mediante impulsos eléctricos del sistema nervioso llamada “electromiografía”. Esto con la finalidad de monitorizar de manera eficiente la actividad uterina de manera remota y reducir el tiempo de un primer contacto entre la gestante y el obstetra frente a una emergencia. Además de cubrir la brecha de investigaciones en temas de mobile health enfocado en el electrodiagnóstico.
Luego de realizar un caso de estudio en la ciudad de Lima con una gestante en el tercer trimestre de gestación y su respectiva obstetra, se concluyó que la solución propuesta contribuye a la reducción del tiempo de atención en un 62% para recibir el primer contacto con el especialista. Además, se evaluó la usabilidad de la aplicación móvil a través de la encuesta System Usability Scale y se obtuvo un puntaje de 81 puntos, lo que indica que es aceptable por el usuario debido a su diseño agradable y navegación intuitiva.
Currently, pregnant women face several difficulties to use obstetric services, among the main ones are the distance from their homes to medical centers, inefficient management, shortage of materials and specialized professionals for the care of these people and the delay in obstetric emergency care. These difficulties can, in some cases, lead to undetected abnormalities during the pregnancy period and endanger the lives of the mother and her baby. By performing a detailed review of the literature, it was possible to identify the opportunity to develop a technological solution with low-cost sensors, a mobile application and a technique to measure uterine contractions through electrical impulses from the nervous system called “electromyography.“ In order to efficiently monitor the uterine activity remotely and reduce the time of the first contract between the pregnant woman and the obstetrician in an emergency. In addition to covering the research gap in mobile health issues focused on electrodiagnosis. After carrying out a case study on Lima city with a pregnant woman in the third trimester of pregnancy and her respective obstetrician, it was concluded that the solution contributes to the reduction of care time by 62% to receive the first contact with the specialist. In addition, the usability of the mobile application through a System Usability Scale survey and a score of 81% was obtained, which indicates that it is acceptable to the user due to its pleasant design and intuitive navigation.
Currently, pregnant women face several difficulties to use obstetric services, among the main ones are the distance from their homes to medical centers, inefficient management, shortage of materials and specialized professionals for the care of these people and the delay in obstetric emergency care. These difficulties can, in some cases, lead to undetected abnormalities during the pregnancy period and endanger the lives of the mother and her baby. By performing a detailed review of the literature, it was possible to identify the opportunity to develop a technological solution with low-cost sensors, a mobile application and a technique to measure uterine contractions through electrical impulses from the nervous system called “electromyography.“ In order to efficiently monitor the uterine activity remotely and reduce the time of the first contract between the pregnant woman and the obstetrician in an emergency. In addition to covering the research gap in mobile health issues focused on electrodiagnosis. After carrying out a case study on Lima city with a pregnant woman in the third trimester of pregnancy and her respective obstetrician, it was concluded that the solution contributes to the reduction of care time by 62% to receive the first contact with the specialist. In addition, the usability of the mobile application through a System Usability Scale survey and a score of 81% was obtained, which indicates that it is acceptable to the user due to its pleasant design and intuitive navigation.
Link to repository: http://hdl.handle.net/10757/663421
Discipline: Ingeniería de Sistemas de Información
Grade or title grantor: Universidad Peruana de Ciencias Aplicadas (UPC). Facultad de Ingeniería
Grade or title: Ingeniero de sistemas de información
Register date: 9-Nov-2022
This item is licensed under a Creative Commons License