US 12,433,495 B2
System and methods for determining health-related metrics from collected physiological data
Matthew Steven Whitehill, Seattle, WA (US); Eric Chen, Seattle, WA (US); Jamien McCullum, Seattle, WA (US); and Jessie Young, Seattle, WA (US)
Assigned to MEASURE LABS, INC., Seattle, WA (US)
Filed by Measure Labs, Inc., Seattle, WA (US)
Filed on Jul. 28, 2022, as Appl. No. 17/815,897.
Claims priority of provisional application 63/365,670, filed on Jun. 1, 2022.
Claims priority of provisional application 63/226,541, filed on Jul. 28, 2021.
Prior Publication US 2023/0032332 A1, Feb. 2, 2023
Int. Cl. A61B 5/025 (2006.01); A61B 5/00 (2006.01); A61B 5/021 (2006.01); A61B 5/1455 (2006.01); A61B 5/024 (2006.01)
CPC A61B 5/021 (2013.01) [A61B 5/14552 (2013.01); A61B 5/4839 (2013.01); A61B 5/486 (2013.01); A61B 5/6898 (2013.01); A61B 5/7221 (2013.01); A61B 5/7267 (2013.01); A61B 5/742 (2013.01); A61B 5/746 (2013.01); A61B 5/02416 (2013.01); A61B 2560/0223 (2013.01); A61B 2560/0431 (2013.01); A61B 2562/0219 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method of identifying a disease state or biomarker indicated in a patient physiological data signal of a patient, the method comprising:
acquiring the patient physiological data signal of the patient in ambient conditions, which includes i) a patient signal quality feature that indicates multiple, individual pulses; and ii) a patient disease state or a biomarker feature common to a disease state or biomarker feature of patient physiological data signals of multiple diverse patients having a disease state or biomarker collected under respective multiple diverse conditions;
correlating, by using a signal quality assessment auto-correlation algorithm, a current pulse of the multiple pulses to a neighboring pulse of the multiple pulses, or correlating, by using a signal quality assessment cross-correlation algorithm, a current pulse of the multiple pulses to a canonical pulse;
determining, in real-time, a quality score of the current pulse of the patient physiological data signal based on the signal quality feature and the correlation of the current pulse to either the neighboring pulse or to the canonical pulse;
determining, in real-time, a disease state or a biomarker indicated in the patient physiological data signal based on presence of the disease state or the biomarker feature in the patient physiological data signal and the determination that the quality score exceeds a threshold acceptance value; and
generating an output that includes the determined disease state or the biomarker.