COVIDDEEP-AI app that detects COVID-19 with a smart watch
Each time the waves of COVID-19 trend arrive, the provision of PCR tests has not been able to keep up with demand, and it has been tight.With a large -scale and repeated alternative, wearable devices and AI methods are attracting attention as a promising approach.Coviddeep, an app from the University of Printon University, has a function to predict new colonovirus infection within a few minutes by combining questions about health and data from a smart watch sensor.
IEEE Transactions on Consumer Electronics reports the development and verification status of CovidDeep.The app integrates the heartbeat, skin temperature, galvanic skin reaction (the phenomenon that the skin flows through the skin due to the moisture of the skin), the blood pressure, oxygen saturation, and the symptom questionnaire (shortness of breath, cough, fever, etc.).Predict the possibility of virus infection.The team has passed the pilot test in Northern Italy 98.It has been confirmed that infection can be detected with 1%accuracy.
Coviddeep's technology has been licensed out of "Neutigers" launched by Professor Niraj Jha, a professor at the University of Princeton University.Later, a large -scale exam in France has been verified, and medical institutions in the United States and Algeria have been tested for staff for staff.Currently, development is continuing to make it compatible with Samsung/Fitbit/Apple's smartwatch.According to IGNAZIO Marino, who was in charge of collecting clinical data in an interview with the University of Princeton, "there is a limit to the accuracy of rapid inspection at home, and our method may be much better than a quick antigen test."Was said.
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