Study Status: Completed
Recruit Status: Completed
Study Type: Observational [Patient Registry]
Official Title: Automatic Differentiation of Innocent and Pathologic Murmurs in Pediatrics
Brief 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.