November 15, 2016 — Computational Signal Detection (CSD) Laboratories LLC announced the publication of data in support of the clinical utility of its eMurmur computer-aided auscultation (CAA) platform for early and ongoing heart-health screening of children.
According to the company, up to 90 percent of children will have a heart murmur at some point during their infancy or childhood. However, the majority of these heart murmurs detected in children will be clinically insignificant.
In this pilot study of 106 children at Children’s Hospital of Eastern Ontario, eMurmur differentiated pathologic from innocent heart murmurs with high sensitivity (87 percent) and specificity (100 percent), a positive predictive value of 100 percent, a negative predictive value of 90 percent, and high accuracy (94 percent) when compared with echocardiography as the gold standard for diagnosing murmurs.
CSD Labs has also clinically validated eMurmur as a tool for early and ongoing heart-health screening of teens, adults and elderly persons.
eMurmur is a software platform for the objective detection of heart murmurs that analyzes and classifies heart sounds acquired via an electronic stethoscope. The platform is comprised of an app that runs on a mobile device and is powered by SADIE, a Machine Intelligence Signal Analysis/Diagnosis Engine. Via Bluetooth or audio cable, the app pairs with any commercially available electronic stethoscope or other appropriate recording device, and receives and sends the acquired heart sounds to the HIPAA-compliant server for analysis. After a few seconds, the results are displayed to the healthcare professional on his/her mobile device where he/she can review, compare, consult or add his/her own findings in an efficient and standardized way.
CSD LABS CEO and Founder Andreas Schriefl, Ph.D., said eMurmur’s web portal offers medical professionals the capacity to retrieve a PDF report containing all results, and enables integration into electronic patient files and hospital information systems. Other benefits include e-consultation via the web portal (i.e., remote case reviewing by medical experts); and heart sound-monitoring by comparing current with previous auscultation data, including recordings and all findings.
For more information: www.csdlabs.com