This study is designed to evaluate the ability of the imPulse™ Una e-stethoscope to differentiate vibroacoustic signals in inpatients with and without confirmed COVID-19 as the first step to establish the performance characteristics - sensitivity, specificity, positive and negative predictive value - of the imPulse™ Una device for early and rapid, point-of-care diagnosis of COVID-19. This will inform the utility and design of further larger-scale studies using the device.
This study generates robust clinical data to train ML/AI algorithms of the Sponsor's imPulse™ Una full-spectrum e-stethoscope for digital diagnostic feature synthesis of symptomatic SARS-CoV-2/COVID-19 biosignatures for rapid and accurate mass screening.