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Automatic Differentiation of Innocent and Pathologic Murmurs in Pediatrics

NCT02512341 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 106

Last updated 2018-07-18

No results posted yet for this study

Summary

The purpose of this preliminary clinical study is to assess the quality of a computational algorithm that automatically classifies murmurs of phonocardiograms (PCGs) as either pathologic (AHA class I) or as no- or innocent (AHA class III) in the pediatric population.

Each patient is auscultated and diagnosed independently by a medical specialist by means of a standard mechanical stethoscope. Additionally, for each patient, a PCG is recorded using a Littmann 3200 electronic stethoscope and later analyzed using the computational algorithm. An echocardiogram is performed as the gold-standard for determining heart pathologies. The results of the computer aided auscultation (CAA) are compared to the findings of the medical professionals as well as to the echocardiogram findings.

Hypothesis: The specific CAA algorithms used in this study are able to differentiate pathologic (AHA class I) from no- or innocent murmurs (AHA class III) in a pediatric population.

Conditions

  • Heart Murmurs
  • Mitral Valve Prolapse
  • Systolic Murmurs

Interventions

DEVICE

Computer Aided Auscultation (CAA)

Sponsors & Collaborators

  • CSD Labs GmbH

    lead OTHER

Principal Investigators

  • Lillian Lai, MD · Children's Hospital of Eastern Ontario

Eligibility

Max Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2013-11-30
Primary Completion
2013-12-31
Completion
2014-06-30

Countries

  • Canada

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02512341 on ClinicalTrials.gov