US 12,324,683 B2
Method and system for engineering cycle variability-related features from biophysical signals for use in characterizing physiological systems
Farhad Fathieh, North York (CA); and Timothy William Fawcett Burton, Ottawa (CA)
Assigned to Analytics for Life Inc., Toronto (CA)
Filed by Analytics for Life Inc., Toronto (CA)
Filed on Dec. 22, 2021, as Appl. No. 17/558,702.
Claims priority of provisional application 63/130,324, filed on Dec. 23, 2020.
Prior Publication US 2022/0192596 A1, Jun. 23, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 5/021 (2006.01); G16H 50/20 (2018.01)
CPC A61B 5/4842 (2013.01) [A61B 5/021 (2013.01); A61B 5/7264 (2013.01); A61B 5/742 (2013.01); G16H 50/20 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A method for non-invasively assessing a disease state or a medical condition of a subject, the method comprising:
obtaining, by one or more processors, a biophysical signal data set of the subject, wherein the biophysical signal data set comprises two or more channels of acquired biopotential signals;
determining, by the one or more processors, values of cycle variability features or parameters using the biophysical signal data set, wherein the values of the cycle variability features or parameters comprise a cycle variability score determined for each channel of the two or more channels, and each cycle variability score determined for a channel of the two or more channels is normalized by a sum of the cycle variability scores determined for the other channels of the two or more channels; and
determining, by the one or more processors, an estimated value for a presence of the disease state or the medical condition based in part on an application of the determined values of the cycle variability features or parameters to an estimation model, wherein the estimated value is an estimate of the presence of the disease state or the medical condition for use in a diagnosis of the disease state or the medical condition or to direct treatment of the disease state or the medical condition.