Coarctation of the aorta is a common congenital heart lesion leading to acute decompensation in the newborn period if not timely detected. Current methods of screening have a sensitivity of only 36% for detection of coarctation. Here we present a new method of photoplethysmography waveform analysis using beat to beat morphological variability analysis. Using a database of 21 patients (10 coarctation and 11 controls) we demonstrate 76% accuracy in detecting coarctation.

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Utilize “big data analytics” to study beat by beat photoplethysmography (PPG) morphology to find meaningful clinical applications. PPG waveform data has layers of complexity greater than derived numeric values alone.


Matthew Sorensen (Presenter)
Children’s Healthcare of Atlanta

Ismail Sadiq (Presenter)
Emory University

Gari D. Clifford, Emory University
Kevin Maher, Children’s Healthcare of Atlanta
Matthew Oster, Children’s Healthcare of Atlanta

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