Researchers at Khalifa University of Science and Technology have launched an mobile application that collects information from phone users, to detect whether the individual is a high-risk COVID-19 case.
Called 'CovidSense', the app uses machine intelligence via all mobile phones. The app records metadata and self-reported health status data, along with breathing sounds, coughs, heart rate, the GPS location from a smartphone, as well as details of those who the user has interacted with.
The app can also be used by people that are quarantining to monitor their symptoms and help with measures to control it.
On collecting the data from the individual's smartphone, it can connect the patient to various physicians after monitoring the patient's symptoms over a course of time.
The development of the app is being led by Dr. Leontios Hadjileontiadis, Professor, Electrical Engineering and Computer Science, Acting Chair, Department of Biomedical Engineering at Khalifa University, along with Dr Herbert F. Jelinek, Associate Professor, Dr. Ahsan Khandoker, Associate Professor, and Dr. Kinda Khalaf, Associate Professor and Associate Chair, Department of Biomedical Engineering at Khalifa University.