Herramienta tecnológica portátil para favorecer el monitoreo y control de la presión arterial
Cargando...
Fecha
2022
Autores
Rodríguez Barrios, Vanessa Susana
Título de la revista
ISSN de la revista
Título del volumen
Editor
Ediciones Universidad Simón Bolívar
Facultad de Ingenierías
Facultad de Ingenierías
Resumen
Se observa que la hipertensión arterial es una enfermedad de alto riesgo, pues es
una de las principales causas de muerte en el mundo, ya que al ser una
enfermedad circulatoria puede causar daños en diferentes órganos del cuerpo,
siendo los más comunes el cerebro y el corazón, por lo que un hipertenso puede
tener ataques cerebro o cardiovasculares. Asimismo, la hipertensión arterial
tampoco tiene cura, pero debe ser tratada minuciosamente, por medio de
monitoreo de los signos vitales (principalmente la presión arterial), y de incluso
más variables. También se considera dentro del tratamiento que el paciente pueda
realizar autocuidado y telemonitoreo en casa, pues existe una alta tasa de
ausentismo en los centros de salud. Para lo anterior se han realizado
investigaciones recientes que han creado y probado diferentes herramientas
tecnológicas como dispositivos digitales o aplicaciones móviles que puedan
mantener al paciente monitoreado y controlado diariamente, en algunos incluso en
tiempo real.
Nótese que la tendencia actual está en migrar el procesamiento hacia el
dispositivo, sin embargo, los algoritmos actuales requieren niveles de
procesamiento y memoria con exigencias superiores a la que pueden brindar una
herramienta portátil. Desde el enfoque del diseño, es necesario determinar las
arquitecturas algorítmicas adecuadas, en el contexto de las restricciones de
funcionamiento que manejan los dispositivos wearables de salud.
It is observed that arterial hypertension is a high-risk disease, and of the main causes of death in the world, it’s classified as a circulatory disease and it can cause damage to different organs of the body, most commonly being the brain and the heart, so that a hypertensive person can suffer from strokes or cardiovascular attacks. Arterial hypertension has no cure, it must be treated thoroughly by monitoring vital signs (mainly blood pressure) and even more variables. It is also considered within the treatment that the patient can perform self-care and telemonitoring at home, since there is a high rate of absenteeism in health centers. For this, a recent research has been carried out and also tested different technological tools such as digital devices or mobile applications that can keep the patient monitored and controlled daily, and in some cases, in real time. Nowadays the current trend is to migrate the processing of data to the device, however, current algorithms require levels of processing and memory with higher capacities than a portable tool can provide. From the design approach, it is necessary to determine the appropriate algorithmic architectures, in the context of the operating restrictions handled by wearable health devices. This proposal presents the design and development of an alternative solution, which, from computer science, allows estimating the presence of arterial hypertension. The design context is the use of low-cost hardware, easy access and limited level of processing
It is observed that arterial hypertension is a high-risk disease, and of the main causes of death in the world, it’s classified as a circulatory disease and it can cause damage to different organs of the body, most commonly being the brain and the heart, so that a hypertensive person can suffer from strokes or cardiovascular attacks. Arterial hypertension has no cure, it must be treated thoroughly by monitoring vital signs (mainly blood pressure) and even more variables. It is also considered within the treatment that the patient can perform self-care and telemonitoring at home, since there is a high rate of absenteeism in health centers. For this, a recent research has been carried out and also tested different technological tools such as digital devices or mobile applications that can keep the patient monitored and controlled daily, and in some cases, in real time. Nowadays the current trend is to migrate the processing of data to the device, however, current algorithms require levels of processing and memory with higher capacities than a portable tool can provide. From the design approach, it is necessary to determine the appropriate algorithmic architectures, in the context of the operating restrictions handled by wearable health devices. This proposal presents the design and development of an alternative solution, which, from computer science, allows estimating the presence of arterial hypertension. The design context is the use of low-cost hardware, easy access and limited level of processing
Descripción
Palabras clave
Presión arterial, Hipertensión, Monitoreo, Control, Herramienta Portátil, Deep Learning, CNN, Blood Pressure, Hypertension, Monitoring, Control, Portable Tool
