MedPath

imPulse™ Una Full-spectrum, Over Clothing E-stethoscope

Completed
Conditions
Coronavirus
Corona Virus Infection
Interventions
Device: imPulse™ Una e-stethoscope
Device: Philips Lumify Ultrasound System
Registration Number
NCT04556149
Lead Sponsor
Level 42 AI, Inc.
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
34
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
CasePhilips Lumify Ultrasound SystemInpatients with confirmed COVID-19 with pulmonary symptoms
Matched ControlimPulse™ Una e-stethoscopeInpatients without COVID-19 with non-pulmonary diagnoses or symptoms
CaseimPulse™ Una e-stethoscopeInpatients with confirmed COVID-19 with pulmonary symptoms
Matched ControlPhilips Lumify Ultrasound SystemInpatients without COVID-19 with non-pulmonary diagnoses or symptoms
Primary Outcome Measures
NameTimeMethod
Diagnostic performance characteristicsthrough study completion, an average of 2 weeks

Sensitivity, specificity, positive and negative predictive values - of the imPulse™ Una device for point-of-care diagnosis of COVID-19.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Johns Hopkins School of Medicine

🇺🇸

Baltimore, Maryland, United States

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