US 12,322,510 B2
Systems and methods for providing active contraction properties of the myocardium using limited clinical metrics
Igor Nobrega, Tampa, FL (US); and Wenbin Mao, Tampa, FL (US)
Assigned to UNIVERSITY OF SOUTH FLORIDA, Tampa, FL (US)
Filed by UNIVERSITY OF SOUTH FLORIDA, Tampa, FL (US)
Filed on Feb. 27, 2023, as Appl. No. 18/175,337.
Claims priority of provisional application 63/314,284, filed on Feb. 25, 2022.
Prior Publication US 2023/0274837 A1, Aug. 31, 2023
Int. Cl. G16H 50/20 (2018.01)
CPC G16H 50/20 (2018.01) 20 Claims
OG exemplary drawing
 
14. A method of data generation for training, validating, or testing a model for outputting properties of a myocardium, the method comprising:
inputting an initial pressure-volume loop into a training model;
inputting initial fiber orientations into the training model;
combining pressure and volume values with fiber orientations in a first intermediate model of the training model to produce geometric characteristics to form synthetic clinical metrics;
combining pressure and volume values with fiber orientations in a second intermediate model of the training model to generate a synthetic gamma waveform; and
supplying the pressure-volume loop and the synthetic clinical metrics to a deep learning model of the training model.