Private Backend Server Software-Based Telehealthcare Tracking and Monitoring System

Authors

  • Faten Imad Ali AL_Nahrain University, College of Engineering, Department of Biomedical Engineering, Baghdad, Iraq
  • Tariq Emad Ali University of Baghdad, Al-Khwarizmi College of Engineering, Department of Information and Communication Engineering, Baghdad, Iraq
  • Ziad Tarik Al_dahan Al- Farahidi University , College of Engineering Techniques, Department of Communication Engineering , Baghdad, Iraq.

DOI:

https://doi.org/10.3991/ijoe.v19i01.32433

Keywords:

Internet of things (IoT), Wireless Body Area Sensor Networks (WBASN), COVID-19, Artificial intelligence (AI), Cloud Computing

Abstract


In these recent years, the world has witnessed a kind of social exclusion and the inability to communicate directly due to the Corona Virus Covid 19 (COVID-19) pandemic, and the consequent difficulty of communicating with patients with hospitals led to the need to use modern technology to solve and facilitate the problem of people communicating with each other. healthcare has made many remarkable developments through the Internet of things (IOT) and cloud computing to monitor real-time patients' data, which has enabled many patients' lives to be saved. this paper presents the design and implementation of a Private Backend Server Software based on an IoT health monitoring system concerned emergency medical services utilizing biosensors to detect multivital signs of an individual with an ESP32 microcontroller board and IoT cloud. The device displays the vital data, which is then uploaded to a cloud server for storage and analysis over an IoT network. Vital data is received from the cloud server and shown on the IoT medical client dashboard for remote monitoring. The proposed system allows users to ameliorate healthcare jeopardy and minify its costs by recording, gathering, sharing, and analyzing vast biodata streams such as Intensive Care Units (ICU) (i.e., temperature, heartbeat rate, Oxygen level (CO2), etc.), efficiently in real-time. In this proposal, the data will send from sensors fixed in the patient body to the Web and Mobile App continually in real time for collection and analysis.

Author Biographies

Faten Imad Ali, AL_Nahrain University, College of Engineering, Department of Biomedical Engineering, Baghdad, Iraq

AL_Nahrain University, College of Engineering, Department of Biomedical Engineering, Baghdad, Iraq

Tariq Emad Ali, University of Baghdad, Al-Khwarizmi College of Engineering, Department of Information and Communication Engineering, Baghdad, Iraq

University of Baghdad, Al-Khwarizmi College of Engineering, Department of Information and Communication Engineering, Baghdad, Iraq

Ziad Tarik Al_dahan , Al- Farahidi University , College of Engineering Techniques, Department of Communication Engineering , Baghdad, Iraq.

Al- Farahidi University, College of Engineering Techniques, Department of Communication Engineering, Baghdad, Iraq.

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Published

2023-01-17

How to Cite

Ali, F. I., Ali, T. E., & Al_dahan , Z. T. (2023). Private Backend Server Software-Based Telehealthcare Tracking and Monitoring System. International Journal of Online and Biomedical Engineering (iJOE), 19(01), pp. 119–134. https://doi.org/10.3991/ijoe.v19i01.32433

Issue

Section

Papers