US 11,986,323 B2
Applied data quality metrics for physiological measurements
John Vincenzo Capodilupo, Boston, MA (US); Behnoosh Tavakoli, Needham, MA (US); and Mostafa Ghannad-Rezaie, Malden, MA (US)
Assigned to Whoop, Inc., Boston, MA (US)
Filed by Whoop, Inc., Boston, MA (US)
Filed on Nov. 29, 2021, as Appl. No. 17/536,331.
Application 17/536,331 is a continuation of application No. 16/163,441, filed on Oct. 17, 2018, granted, now 11,185,292.
Claims priority of provisional application 62/573,683, filed on Oct. 17, 2017.
Prior Publication US 2022/0079530 A1, Mar. 17, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); G06F 18/243 (2023.01); A61B 5/0245 (2006.01); A61B 5/0533 (2021.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01)
CPC A61B 5/7267 (2013.01) [A61B 5/02055 (2013.01); A61B 5/02416 (2013.01); A61B 5/02438 (2013.01); A61B 5/681 (2013.01); A61B 5/7221 (2013.01); G06F 18/24323 (2023.01); A61B 5/0022 (2013.01); A61B 5/02405 (2013.01); A61B 5/0245 (2013.01); A61B 5/0533 (2013.01); A61B 5/0816 (2013.01); A61B 5/1118 (2013.01); A61B 5/14542 (2013.01); A61B 5/4812 (2013.01); A61B 5/4815 (2013.01); A61B 5/4866 (2013.01); A61B 5/6831 (2013.01); A61B 2560/0209 (2013.01); A61B 2560/0223 (2013.01); A61B 2560/0242 (2013.01); A61B 2562/0219 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining calibrated heart rate data from a number of subjects using one or more electrocardiography heart rate monitors;
obtaining uncalibrated heart rate data from the number of subjects concurrently with the calibrated heart rate data using one or more photoplethysmography monitors;
obtaining feature data from the one or more photoplethysmography monitors concurrently with the calibrated heart rate data and the uncalibrated heart rate data, the feature data characterizing a plurality of features of a data acquisition context for a corresponding one of the photoplethysmography monitors;
associating a quality metric for the uncalibrated heart rate data with the feature data based on whether, for each data acquisition context, the uncalibrated heart rate data is within a predetermined threshold of the calibrated heart rate data;
creating a quality estimator engine to evaluate a likelihood of the uncalibrated heart rate data from the one or more photoplethysmography monitors being accurate relative to the calibrated heart rate data from the one or more electrocardiography heart rate monitors based on the feature data;
receiving second uncalibrated heart rate data and second feature data from a second photoplethysmography monitor;
determining a probability that the second uncalibrated heart rate data from the second photoplethysmography monitor provides accurate heart rate data relative to the one or more electrocardiography heart rate monitors for a window of measurements by calculating a conditional probability, based on the second feature data, that the second uncalibrated heart rate data is accurate relative to the calibrated heart rate data of one of the electrocardiography heart rate monitors; and
assigning the probability to the window of measurements, wherein the probability includes the probability that the second uncalibrated heart rate data from the second photoplethysmography monitor provides accurate heart rate data relative to the one or more electrocardiography heart rate monitors, and wherein the probability is assigned as a measure of quality for the uncalibrated heart rate data within the window.