Bibliographic citations
Hinostroza, J., (2022). Diseño e implementación de un sistema multiparametrico mediante Internet de las cosas para la medición y monitoreo de signos vitales en pacientes con necesidad de vigilancia remota [Universidad de Ciencias y Humanidades (UCH)]. http://hdl.handle.net/20.500.12872/747
Hinostroza, J., Diseño e implementación de un sistema multiparametrico mediante Internet de las cosas para la medición y monitoreo de signos vitales en pacientes con necesidad de vigilancia remota []. PE: Universidad de Ciencias y Humanidades (UCH); 2022. http://hdl.handle.net/20.500.12872/747
@misc{renati/689685,
title = "Diseño e implementación de un sistema multiparametrico mediante Internet de las cosas para la medición y monitoreo de signos vitales en pacientes con necesidad de vigilancia remota",
author = "Hinostroza Quiñones, Juan Russel",
publisher = "Universidad de Ciencias y Humanidades (UCH)",
year = "2022"
}
Health is a complementary state of utmost importance for a person, as well as for the global and local population. The health system worldwide has been seriously affected by different types of diseases ranging from the mildest to the most serious, being of extensive durations that humanity has been able to suffer and affected all continents of the world. Consequently, it led to the need to require many types of medical equipment within it highlights an equipment for the measurement of the main vital signs that is known as monitor. As has been experienced in the years 2020 and 2021, the pandemic by covid-19, generated by a group of viruses that cause diseases ranging from the common cold to more serious diseases such as pneumonia; requiring continuous monitoring by health specialists. In this project, the design and implementation of a prototype based on a remote multiparametric monitor to store vital signs data is carried out. It describes the operation and the main features that a vital signs monitor can provide, as well as accurate data of signs also meets the need to be used in a hospital environment or at home, in order to manage it at a lower cost. Part of the devices to be used are the Raspberry Pi card, wife module. Sensors for measuring parameters such as blood oxygen saturation (SPO2), respiratory rate, temperature, electrocardiography and noninvasive pressure (NIBP), all parameters in measurement will be taken in a database that will be sent through the wife network. All this for the knowledge and evaluation of a health specialist, in order to provide a prompt recovery of the patient.
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