Your browser doesn't support javascript.
IOT Based Integrated COVID-19 Self-Monitoring Tool (COV-SMT) for Quarantine
International Journal of Interactive Mobile Technologies ; 17(9):141-149, 2023.
Article in English | Scopus | ID: covidwho-20238866
ABSTRACT
COVID-19 Self-Monitoring Tool (COV-SMT) is the research developed to address multiple issues in monitoring quarantined individuals due to COVID-19 infection. As COVID-19 is still highly infectious despite the availability of vaccines, the implementation of contactless Internet of Things (IoT) technology should be encouraged to minimize the need for medical staff to perform daily health checks and thus prevent them from being directly infected during checking. This research aims to develop an effective method to monitor quarantined individuals regarding their vital signs, such as body temperature, heart rate, and oxygen level. A contactless self-monitoring tool integrated with a stages algorithm is developed to monitor these quarantined individuals with the help of IoT technology. It can provide a consistent platform for patients or users to transfer information or data through networks, including personalized healthcare domains. COV-SMT is an effective tool to streamlet the overall process of taking measurements from quarantined individuals. It integrates multiple sensors into one tool while providing a better overall picture with its graphical presentation to help patients and medical staff better understand their health conditions. © 2023, International Journal of Interactive Mobile Technologies. All Rights Reserved.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: International Journal of Interactive Mobile Technologies Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: International Journal of Interactive Mobile Technologies Year: 2023 Document Type: Article