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The COVID-19 pandemic started in China in December 2019 and quickly spread toseveral countries. The consequences of this pandemic are incalculable, causingthe death of millions of people and damaging the global economy. To achievelarge-scale control of this pandemic, fast tools for detection and treatment ofpatients are needed. Thus, the demand for alternative tools for the diagnosisof COVID-19 has increased dramatically since accurated and automated tools arenot available. In this paper we present the ongoing work on a system forCOVID-19 detection using ultrasound imaging and using Deep Learning techniques.Furthermore, such a system is implemented on a Raspberry Pi to make it portableand easy to use in remote regions without an Internet connection.

Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning