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IoT System in Diagnosis of Covid-19 Patients

Author

Listed:
  • 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. Here they are processed according to Machine Learning algorithms and sent predictions to the subjects' family doctors, but also to the national health system. If patients are suspected of being infected with the virus, then they should be contacted as soon as possible for testing.

Suggested Citation

  • Dan CACOVEAN & Irina IOANA & Gabriela NITULESCU, 2020. "IoT System in Diagnosis of Covid-19 Patients," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 24(2), pages 75-89.
  • Handle: RePEc:aes:infoec:v:24:y:2020:i:2:p:75-89
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