US 12,424,334 B1
Apparatus and method for generating pseudo-electrogram (EGM) data from electrocardiogram (ECG) data
Suthirth Vaidya, Bengaluru (IN); Rakesh Barve, Bengaluru (IN); and Animesh Agarwal, San Mateo, CA (US)
Assigned to Anumana, Inc., Cambridge, MA (US)
Filed by Anumana, Inc., Cambridge, MA (US)
Filed on Jul. 29, 2024, as Appl. No. 18/786,969.
Int. Cl. G16H 50/70 (2018.01); A61B 5/346 (2021.01); G06N 20/00 (2019.01)
CPC G16H 50/70 (2018.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus for generating pseudo-electrogram (EGM) data from electrocardiogram (ECG) data, the apparatus comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
generate EGM model training data, wherein generating the EGM model training data comprises:
receiving the EGM model training data, wherein the EGM model training data comprises exemplary ECG data correlated to exemplary EGM data; and
time synchronizing the exemplary ECG data and the exemplary EGM data using a synchronization machine learning model trained using synchronization training data configured to correlate time synchronized ECG data and time synchronized EGM data, wherein the synchronization training data is iteratively updated using a feedback loop;
train an EGM machine-learning model using the EGM model training data;
receive subject data, wherein the subject data comprises subject ECG data; and
generate subject EGM data as a function of the subject ECG data using the trained EGM machine-learning model.