Document Type
Article
Publication Date
June 2025
Patent Number
12322510
Abstract
A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting one or more contraction properties of the myocardium.
Application Number
18/175337
Recommended Citation
Nobrega, Igor and Mao, Wenbin, "Systems and methods for providing active contraction properties of the myocardium using limited clinical metrics" (2025). USF Patents. 1511.
https://digitalcommons.usf.edu/usf_patents/1511
Assignees
UNIVERSITY OF SOUTH FLORIDA
Filing Date
02/27/2023
