IoT Based Cytokine Storm Symptoms Early Warning System for Covid-19 Self-Isolating Patient | IEEE Conference Publication | IEEE Xplore
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IoT Based Cytokine Storm Symptoms Early Warning System for Covid-19 Self-Isolating Patient


Abstract:

Covid-19, which has spread throughout the world, has reportedly caused millions of deaths. Among the causes of the patient's death is the phase after the patient is decla...Show More

Abstract:

Covid-19, which has spread throughout the world, has reportedly caused millions of deaths. Among the causes of the patient's death is the phase after the patient is declared negative for COVID, but there is a cytokine storm. In this study, an IoT-based technology was proposed to be able to detect abnormalities in COVID-19 patients, even though they already had a negative Covid status based on the PCR test. The implementation of this technology allows former Covid patients to be monitored from anywhere as long as they are connected to the internet, using designed wearable devices and dedicated mobile apps for them. Based on experiment result, all the sensors have the ability to work and sense patient body indicators with error below 5%. This study demonstrated the flawless use of a mobile app dedicated to monitor patients' health during the pandemic. When patient health condition indicating exposed to cytokine storm, a warning notification is appear at the mobile app.
Date of Conference: 04-05 November 2022
Date Added to IEEE Xplore: 16 January 2023
ISBN Information:
Conference Location: Yogyakarta, Indonesia

References

References is not available for this document.