Patent ID: 11896432
Assignee: VEKTOR MEDICAL, INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A

Claim 0:
1. One or more computing systems for generating a reentry machine learning (RML) model for identifying characteristics of a reentrant circuit of a heart, the one or more computing systems comprising:
one or more computer-readable storage mediums that store computer-executable instructions for controlling the one or more computing systems to:
access training data that includes descriptions of characteristics of reentrant circuits,
the characteristics including a specification of a common pathway from an entrance site to an exit site, and including tissue characteristics that include one or more of perfusion, electrical, and motion characteristics, and
the training data generated by, for each of a plurality of simulated tissue characteristics, running a simulation of electrical activity of a heart having those simulated tissue characteristics and identifying from the simulated electrical activity a simulated reentrant circuit, each simulated reentrant circuit having a simulated entrance site, simulated exit site, and a simulated common pathway;

for each description of characteristics of a reentrant circuit,
extracting one or more features from the description that include a tissue characteristic;
extracting one or more labels from the description that include a specification of the common pathway of the description; and
labeling the one or more features with the one or more labels; and

training the RML model using the labeled features; and

one or more processors for controlling the one or more computing systems to execute the computer-executable instructions.