IoT Based COVID Patient Health Care and Monitoring System

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Volume 3 Issue 1 2022

Author(s):

Dr. Zamin Ali Khan

Sajida Karim

Darakhshan Syed

Abstract Patients health care monitoring has become one of the major concerns in this present era. Since the technology has also been evolving, it is getting more advanced and technical, typical manual methods of health monitoring. They do not only consume a huge time and resources but impossible to monitor each patient all the time. Fact is that not all diseases require the real-time monitoring of a patient, but some of them are fatal needed due to slight negligence. These types of disease must be monitored such as heart problems and COVID-19 on regular basis, which consume millions of lives. Current epidemic of COVID-19 is not like ordinary disease that can not only damage the human health as lungs, abnormal heartbeats, but also decreased oxygen saturation which leads to death. To overcome this issue, we propose a real-time monitoring system that is exclusively designed for COVID patients. This paper aim is to develop a COVID-19 wearable band and mobile application which is purely based on internet of thing (IoT). Our system requires all integrated sensors along to display readings on screen, and to communicate wirelessly with respective medical person if any critical situation rise with its mobile application. This wearable band perform completely autonomous to monitor patient condition parameters like temperature, heart rate, and oxygen level.
Keywords Arduino, Health System, IoT, Real-Time COVID Detection.
Year 2022
Volume 3
Issue 1
Type Research paper, manuscript, article
Recognized by Higher Education Commission of Pakistan, HEC
Category Y
Journal Name ILMA Journal of Technology & Software Management
Publisher Name ILMA University
Jel Classification --
DOI -
ISSN no (E, Electronic) 2709-2240
ISSN no (P, Print)
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link https://ijtsm.ilmauniversity.edu.pk/arc/Vol3/i1/pdf/2.pdf
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