Monitorar Sinais Vitais de Pacientes Utilizando Sensoriamento IoT para Fornecer Informações em Tempo Real aos Médicos

Abstract

Currently, health professionals use a series of equipment that collects information about the body status of their patients. However, the information provided by these devices can give a partial view of the patient’s monitored problem and prevent a better intervention. The Internet of Things (IoT) has presented alternatives to collect, analyze, aggregate information from multiple sensors, and provides consistent results. The methodology of this work is the aggregation of values from multiple sensors by normalization of the Min-Max type to provide indicators of vital signs to those responsible for the patient. The implementation of the project implies creating a mixed IoT architecture to process local and remote data and provide visual information in a dashboard. The results observed brought greater completeness of information, concentrating in a single environment the combination of data from multiple sensors so that health professionals can diagnose their patients more quickly.