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.
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.
Study Type
OBSERVATIONAL
Enrollment
34
The imPulse™ System is an every/anywhere-point-of-care cardiopulmonary functional state assessment platform designed to capture normal and abnormal, audible and inaudible cardiopulmonary sounds, rhythms and patterns, via a real-time, intelligent, full-spectrum phonocardiogram obtained from direct to skin coupling or through a layer of clothing.
Point-of-care ultrasound
Johns Hopkins School of Medicine
Baltimore, Maryland, United States
Diagnostic performance characteristics
Sensitivity, specificity, positive and negative predictive values - of the imPulse™ Una device for point-of-care diagnosis of COVID-19.
Time frame: through study completion, an average of 2 weeks
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.