IoT based Patient Health Care for COVID 19 Centre
Shreerang J. More1, Pranav S. Patil2, Jitendra M. More3, Prayag S. Patil4, Satish S. Marathe5
1Shreerang J.More, Department of Electronics Engineering, S.S.V.P.S College of Engineering, Maharashtra, India.
2Pranav S. Patil, Department of Electronics and Telecommunication Engineering, S.S.V.P.S College of Engineering, Maharashtra, India.
3Jitendra M. More, Head of More Engineering Classes and Robotics Training Center Dhule, Maharashtra, India.
4Prayag S. Patil, Department of Design and Automation, Vellore Institute of Technology, Vellore, India.
5Satish S. Marathe, Department of Automotive Engineering, Vel Tech University, Chennai, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 258-263 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4404099320 | DOI: 10.35940/ijrte.C4404.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, COVID 19 centre monitoring and management system has been proposed and integration of different sensor network with Internet of Things (IoT). The sensors implemented can communicate with data collection and processing unit. The data collection done by that unit can directly transferred to cloud using internet connectivity at COVID 19 centre. Therefore work aimed to propose COVID 19 centre management with IoT based approach to handle medical services and patient monitoring and treatment work flow. In the experimented model, Node MCU ESP8266 controller and temperature sensor (DHT11) are integrated. A system has capability to monitor and control COVID 19 centre services and patient monitoring via remote connection. It is evaluated with three temperature sensors connected to measure temperature of patients. Mobile based blynk has been utilized for the cloud based IoT implementation. Sensor sends data over blynk server and then can be seen anywhere using smart phone application. In addition, when patient get fever more than regular value, an alert was sent to authority in a quick time. After results, it is indicated that the developed system has effective potential to work in pandemic situation and has technological feasibility. The benefits of implemented research methods are useful in digital health management in pandemic scenario. Even hospitals, COVID centers, intensive care unit (ICU) can be operated effectively and patient diagnosis application based on online database has wide scope in the area of internet of things and patient health management.
Keywords: Blynk, COVID 19, Health Care, IoT, Node MCU, Sensor Network.