US 12,094,613 B2
Method and system for cardiovascular disease assessment and management
Tuhin Sinha, Burlingame, CA (US); Ian Eslick, Burlingame, CA (US); and Alan Leggitt, Burlingame, CA (US)
Assigned to Riva Health, Inc., Burlingame, CA (US)
Filed by Riva Health, Inc., Burlingame, CA (US)
Filed on Nov. 20, 2023, as Appl. No. 18/514,364.
Application 18/514,364 is a division of application No. 17/866,185, filed on Jul. 15, 2022, granted, now 11,862,340.
Application 16/538,206 is a division of application No. 15/183,285, filed on Jun. 15, 2016, granted, now 10,420,475, issued on Sep. 24, 2019.
Application 17/866,185 is a continuation of application No. 16/538,206, filed on Aug. 12, 2019, granted, now 11,424,032, issued on Aug. 23, 2022.
Claims priority of provisional application 62/175,971, filed on Jun. 15, 2015.
Prior Publication US 2024/0087748 A1, Mar. 14, 2024
Int. Cl. A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); G06N 7/01 (2023.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G06N 20/00 (2019.01)
CPC G16H 50/20 (2018.01) [A61B 5/02108 (2013.01); A61B 5/02116 (2013.01); A61B 5/02427 (2013.01); A61B 5/4812 (2013.01); A61B 5/4857 (2013.01); A61B 5/6898 (2013.01); A61B 5/7264 (2013.01); G06N 7/01 (2023.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 5/0077 (2013.01); A61B 5/02405 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); G06N 20/00 (2019.01)] 7 Claims
OG exemplary drawing
 
1. A system comprising:
a camera module configured to:
for each of a first and second time period, sample a time series of image data of a body region of a user, the time series of image data associated with the respective time period;
a processing system configured to:
for each of the first and second time periods:
generate a photoplethysmogram (PPG) dataset from the time series of image data associated with the respective time period; and
determine a cardiovascular parameter value of the user based on the PPG dataset, the cardiovascular parameter value associated with the respective time period;
fit a model to (1) the cardiovascular parameter value associated with the first time period, and (2) the cardiovascular parameter value associated with the second time period; and
characterize a cardiovascular parameter variation over time of the user based on the fitted model.