Open AccessMulti Patient Wireless Monitoring for Pandemic With Continuous Reading Analysis and Alert Generation For Affected Patient
Author(s) -
J. Jeba Johannah,
Sivagnana Sowndarya R R,
S. Tamilarasi
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1013
Subject(s) - pandemic , reading (process) , covid-19 , population , web application , medical emergency , cloud computing , health care , smart phone , phone , representation (politics) , computer science , internet privacy , medicine , business , world wide web , environmental health , telecommunications , political science , pathology , linguistics , philosophy , disease , politics , infectious disease (medical specialty) , law , operating system
The public healthcare system of a country needs to deal with newer ailments and challenges arising due to change in lifestyle, food habits, etc. In addition, the novel requirements of the consumer healthcare market, facing among other issues, the strong demographic changes associated with the aging population put researchers in front of new and exciting challenges. The country’s healthcare infrastructure may not be enough in the face of an epidemic, especially COVID-19.To overcome these problems, in this project we use an oxidation sensor and a temperature sensor to record the readings of the blood oxidation levels and body temperature of the patient. The readings are then pushed to the cloud using a Wi-Fi module, the values are then fetched on the frontend web application. A web application using reacts is developed to give a live analysis to monitor and check the condition of multiple patients with a graphical representation of their oxidation and body temperature levels. The bio data of each patient specifically can be viewed by the doctor. When the condition of a patient is at an abnormal level the doctor is immediately alerted through a pop up in the web application. Thus, this project prevents the doctor from coming in direct contact with multiple patients preventing further spread of the virus.