IoT System in Diagnosis of Covid-19 Patients
Dan Cacovean, Irina IOANA, Gabriela NITULESCU
Abstract
Implementation of an IoT system for the detection of Covid-infected 19. A sample of 300 people participated in this experiment. They are assigned wearables that they must wear for a period of one week throughout the day. The data is retrieved in real time at an interval of 60 minutes. These wearables are equipped with temperature, heart rate and GPS sensors to determine people inside or outside virus outbreaks. The data is then retrieved and sent to Oracle Cloud.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakVirologyMedicineComputer scienceInternal medicineOutbreakInfectious disease (medical specialty)DiseaseCOVID-19 diagnosis using AI