AI Based Predictive Model for Detection of Corona Patient

Abstract

The proposed system can detect likelihood of the respiratory diseases, measure oxygen saturation and temperature of the patient. One of its goals is to test the patient for COVID-19 (i.e. pneumonia like symptoms). The system includes a testing stand which consists of respiratory sound recording unit, a pulse oximeter unit, an IR temperature check unit and a computer which consists of a software unit. The respiratory sound recording unit includes stethoscopes mounted inside a pillow on the testing stand which are connected to a microphone module which is further connected to the computer via an audio cable. The pulse oximeter unit includes a pulse oximeter sensor which is mounted on the right arm of the testing stand which is further connected to an Organic-LED (OLED) display, buzzer and the computer. The IR temperature check unit includes an IR temperature sensor which is mounted on the top arm of the testing stand which is further connected to an OLED display, buzzer and computer. It is to be noted that all the units can be adjusted according to the height of the patient. The software unit includes a machine learning program i.e. COVID-19 diagnostic management system, present in the computer which is connected with all the above-mentioned parameters.

Index Terms: Corona virus, Chest X-ray Radiographs, Artificial Intelligence, Deep Learning, CT Scan image