Patent ID: 11915825
Assignee: ALIVECOR, INC.
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 8:
9. A method, comprising:
receiving, by a processing device, electrocardiogram training data comprising a plurality of electrocardiograms and one or more analyte measurements associated with each of the electrocardiograms;
determining, by the processing device, training labels for the plurality of electrocardiograms of the electrocardiogram training data based at least in part on a regression line fitted to the one or more analyte measurements associated with each of the electrocardiograms, wherein the training labels are determined from the regression line at a time of measurement of the associated electrocardiogram of the plurality of electrocardiograms;
training a machine learning model by:
analyzing each electrocardiogram of the electrocardiogram training data to generate an output; and
comparing, by the processing device, the output generated for each electrocardiogram of the electrocardiogram training data to the associated label for each electrocardiogram of the electrocardiogram training data to update the machine learning model using back propagation, wherein one or more weight matrices of the machine learning model are adjusted based on a confidence interval associated with the associated label for each electrocardiogram of the electrocardiogram training data.