A proposed model of a semi-automated sensor actuator resposcopy analyzer for ‘covid-19’ patients for respiratory distress detection

Abstract

COVID19 patients have been admitted to hospitals based on the reports of clinical symptoms associated with pulmonary disease identification. Reducing human intervention as much as possible, we prepared this model that will be able to keep an eye on the parameters related to the symptoms of COVID-19. In corona infected patients the proposed study is used to develop a formulate treatment entitled as ‘RESPOSCOPY’ to ease out this situation and increased the life expectancy of the patients. In order to observe distraction and effect of blood pressure and to reduce BOD (Biological Oxygen Demand) for chest cavity treatment. There are no proper methods of electronic tools to identify the pathology and physiology of COVID19 patients who undergo acute respiratory issues. Hence there should be a screening method for identifying acute to moderate breathing disorder for patients which can cause a significant rise in pulmonary failure like a COVID19 disorder. The method proposed by us is called as auscultation that is used to transport an electronic stethoscope in the lungs without causing medical infection. Identification of changes associated with Tracheal, bronchial, broncho-alveolar and alveolar breath sounds to identify characteristic of pneumonia for auscultator percussion for general use in areas with limited medical infrastructure. Rapid detection of semi rigid chest wall using sensors reduces the false negative output associated with RT-PCR tests as the proposed electronic sensors can give better pre test analysis which are recorded as measurable signals. The tests performed using electronic probes.