IoT-Based Remote Health Monitoring System Employing Smart Sensors for
Asthma Patients during COVID-19 Pandemic
- URL: http://arxiv.org/abs/2304.06511v1
- Date: Tue, 28 Mar 2023 07:23:03 GMT
- Title: IoT-Based Remote Health Monitoring System Employing Smart Sensors for
Asthma Patients during COVID-19 Pandemic
- Authors: Nafisa Shamim Rafa, Basma Binte Azmal, Abdur Rab Dhruba, Mohammad
Monirujjaman Khan, Turki M. Alanazi, Faris A. Almalki, Othman AlOmeir
- Abstract summary: COVID19 and asthma are respiratory diseases that can be life threatening in uncontrolled circumstances.
A poverty stricken South Asian country like Bangladesh has been bearing the brunt of the COVID19 pandemic since its beginning.
This paper demonstrates how the current challenges in the healthcare system are resolvable through the design of a remote health and environment monitoring system.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: COVID19 and asthma are respiratory diseases that can be life threatening in
uncontrolled circumstances and require continuous monitoring. A poverty
stricken South Asian country like Bangladesh has been bearing the brunt of the
COVID19 pandemic since its beginning. The majority of the country's population
resides in rural areas, where proper healthcare is difficult to access. This
emphasizes the necessity of telemedicine, implementing the concept of the
Internet of Things (IoT), which is still under development in Bangladesh. This
paper demonstrates how the current challenges in the healthcare system are
resolvable through the design of a remote health and environment monitoring
system, specifically for asthma patients who are at an increased risk of
COVID19. Since on-time treatment is essential, this system will allow doctors
and medical staff to receive patient information in real time and deliver their
services immediately to the patient regardless of their location. The proposed
system consists of various sensors collecting heart rate, body temperature,
ambient temperature, humidity, and air quality data and processing them through
the Arduino Microcontroller. It is integrated with a mobile application. All
this data is sent to the mobile application via a Bluetooth module and updated
every few seconds so that the medical staff can instantly track patients'
conditions and emergencies. The developed prototype is portable and easily
usable by anyone. The system has been applied to five people of different ages
and medical histories over a particular period. Upon analyzing all their data,
it became clear which participants were particularly vulnerable to health
deterioration and needed constant observation. Through this research, awareness
about asthmatic symptoms will improve and help prevent their severity through
effective treatment anytime, anywhere.
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