Author: Bhanuteja, G.; Kandi, K. A.; Srinidhi, K.; Paulson Premsingh, S.; Dikshitha, R.; Anil Kumar, R.
Title: CAMISA: An AI Solution for COVID-19 Cord-id: h7p67y6n Document date: 2021_1_1
ID: h7p67y6n
Snippet: The COVID-19 pandemic has created an unparalleled need for remote patient monitoring and has primarily impacted the world as the mortality rate has increased rapidly. As long as coronavirus exists, mutations of the virus continue to happen, which also insists on the need for remote monitoring. Healthcare sectors require the help of many new technologies such as IoT, Artificial Intelligence, Neural Networks, and sensor technology which can play an important role. The proposed system predicts the
Document: The COVID-19 pandemic has created an unparalleled need for remote patient monitoring and has primarily impacted the world as the mortality rate has increased rapidly. As long as coronavirus exists, mutations of the virus continue to happen, which also insists on the need for remote monitoring. Healthcare sectors require the help of many new technologies such as IoT, Artificial Intelligence, Neural Networks, and sensor technology which can play an important role. The proposed system predicts the COVID-19 symptoms in a patient with the integration of sensor technology and AI. This system is effective in solving the crisis. It includes a shirt and a mask measuring the heart rate, blood oxygen level, and respiration rate. In addition to this is the predictable AI model, where the symptoms predict whether the patient is COVID-19 positive or not. © 2021 IEEE.
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