US 12,402,839 B2
System and method for determining a cardiac health status
Jay M. Edelberg, Princeton, NJ (US); and Tassos Gianakakos, Paradise Valley, AZ (US)
Assigned to Prolaio, Inc., Scottsdale, AZ (US)
Filed by Prolaio, Inc., Scottsdale, AZ (US)
Filed on Jul. 2, 2024, as Appl. No. 18/762,061.
Application 18/762,061 is a continuation of application No. PCT/US2023/010150, filed on Jan. 4, 2023.
Claims priority of provisional application 63/296,729, filed on Jan. 5, 2022.
Claims priority of provisional application 63/296,734, filed on Jan. 5, 2022.
Claims priority of provisional application 63/296,736, filed on Jan. 5, 2022.
Prior Publication US 2024/0350095 A1, Oct. 24, 2024
Int. Cl. A61B 5/361 (2021.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/256 (2021.01); A61B 5/339 (2021.01); A61B 5/353 (2021.01); A61B 5/355 (2021.01); A61B 5/358 (2021.01); A61B 5/363 (2021.01); A61B 5/366 (2021.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/00 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01)
CPC A61B 5/7267 (2013.01) [A61B 5/0205 (2013.01); A61B 5/256 (2021.01); A61B 5/339 (2021.01); A61B 5/353 (2021.01); A61B 5/355 (2021.01); A61B 5/358 (2021.01); A61B 5/361 (2021.01); A61B 5/363 (2021.01); A61B 5/366 (2021.01); A61B 5/7275 (2013.01); A61B 5/743 (2013.01); A61B 5/7435 (2013.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/00 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01)] 17 Claims
OG exemplary drawing
 
1. A method for determining a cardiac health status for a subject, the method comprising:
a. sensing a subject with an electrocardiogram (ECG) device to obtain ECG data, wherein the ECG device is wearable, mobile, and configured to perform ambulatory measurements of the subject;
b. extracting one or more P wave parameters associated with the ECG data;
c. detecting left atrial enlargement (LAE) within the subject by applying a first decision engine with the extracted one or more P wave parameters from the ECG data;
d. determining, based on the LAE detection, a cardiac health status for the subject by applying a second decision engine, the cardiac health status comprising at least one of (i) a first cardiac condition or (ii) a first risk score for developing the first cardiac condition by the subject, wherein the first cardiac condition comprises atrial fibrillation;
e. determining, based on the at least one of (i) the first cardiac condition or (ii) the first risk score, an adjusted cardiac health status by applying a third decision engine, the adjusted cardiac health status comprising at least one of (i) a second cardiac condition or (ii) a second risk score for developing the second cardiac condition by the subject, wherein the second cardiac condition comprises at least one of cardiomyopathy or diastolic dysfunction; and
f. outputting onto a display interface at least one of the cardiac health status, the first cardiac condition, the first risk score, the adjusted cardiac health status, the second cardiac condition, or the second risk score.