The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 19, 2026

Filed:

Dec. 16, 2021
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Hayden Sullivan Helm, Salem, VA (US);

Guodong Chen, Baltimore, MD (US);

Weiwei Yang, Seattle, WA (US);

Kateryna Lytvynets, Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); A61B 5/00 (2006.01); A61B 5/372 (2021.01); G06F 18/2134 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
A61B 5/7264 (2013.01); A61B 5/372 (2021.01); G06F 18/2134 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 20/00 (2019.01);
Abstract

A computer implemented method includes accessing a multivariate time series set of samples collected by multiple biological sensors sensing a first biological function over a first period of time, dividing the data set into windows, calculating statistical dependencies between the samples of the timeseries data collected by each sensor, generating a relationship matrix as a function of the statistical dependencies, and transforming the relationship matrix to generate a first feature vector for each window of time that captures the statistical dependencies amongst the sensors.


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