Improvement of Data Transfer Reliability in IoT-based Coronavirus Patients' Health Monitoring System using by IoT Analytics Expert Systems

  • D. Ibrahim Computer Engineering Department, Islamic Azad University (Isfahan branch), Isfahan, Iran,
  • N. Majma Computer Engineering Department, Naghshejahan Higher Education Institute, Isfahan, Iran, [email protected]
Keywords: Health monitoring, Ubidots platform, Corona viruses, IoT platforms, Sensors

Abstract

Recently, the Corona pandemic has swept the entire world and has led to many deaths, as monitoring the health of patients has become very difficult for the medical staff, with IoT technology has become the monitoring of patients' health remotely, and this facilitated a lot of work for physicians.

In this research, connecting medical sensors, including blood oxygen sensors, temperature sensors, as well as pulse sensors) to patients, obtaining vital parameters and sending data to the IoT platform, used the technology of monitoring the health of corona patients remotely using the Internet of things. The ubidots platform was used where it is considered one of the easiest platforms to deal with sensors, as well as providing free and permanent data storage.

High results were obtained in quickly transferring sensor data to the IoT platform, where the data transfer rate ranged between (10 - 15) seconds for each new data, and this is an excellent transfer rate.

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Published
2023-03-18
How to Cite
D. Ibrahim, & N. Majma. (2023). Improvement of Data Transfer Reliability in IoT-based Coronavirus Patients’ Health Monitoring System using by IoT Analytics Expert Systems. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(3), 18-38. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/399
Section
Articles