Abstract
Agriculture, education and health systems have all progressed in the last decade. In times of pandemic crises like COVID-19, IoT and sensors play a critical role in the medical industry. Sensors and IoT-based health care gadgets have emerged as saviors for humanity in the face of resource shortage. Pulse oximeters are one such instrument that has been utilized widely during pandemics. Since a long time, pulse oximeters have been used to measure crucial body functions such as saturation of peripheral oxygen (SpO2) and pulse rate. They have been utilized to detect vital signs in patients in order to diagnose cardiac trouble early. However, oximeters have been widely utilized to detect SPO2 levels in persons during the current pandemic. People are being attacked by the COVID-19, which is silently destroying their lungs, causing pneumonia and lowering oxygen levels to dangerously low levels. We propose a strategy in this study for detecting possibly vulnerable individuals by classifying them using data obtained from pulse oximeters. We propose an approach by involving volunteers who will record their vitals and share it with administrators on a regular basis.
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Kaur, N., Kumar, R. (2023). Detection of Potential Vulnerable Patients Using Oximeter. In: Gupta, D., Khanna, A., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 492. Springer, Singapore. https://doi.org/10.1007/978-981-19-3679-1_39
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