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:
Jun. 30, 2020

Filed:

Feb. 27, 2018
Applicant:

Rodrigo E. Teixeira, Madison, AL (US);

Inventor:

Rodrigo E. Teixeira, Madison, AL (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06N 7/00 (2006.01); A61B 5/0402 (2006.01); A61B 5/0205 (2006.01); G06F 15/18 (2006.01); G16H 50/70 (2018.01); G16H 15/00 (2018.01); A61B 5/024 (2006.01); G06N 20/00 (2019.01); A61B 5/029 (2006.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); A61B 5/024 (2013.01); A61B 5/029 (2013.01); A61B 5/02055 (2013.01); A61B 5/02416 (2013.01); A61B 5/0402 (2013.01); A61B 5/7264 (2013.01); G06F 15/18 (2013.01); G06N 20/00 (2019.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
Abstract

A probabilistic digital signal processor using data from multiple instruments is described. In one example, a digital signal processor is integrated into a biomedical device. The processor is configured to: use a dynamic state-space model configured with a physiological model of a body system to provide a prior probability distribution function; receive sensor data input from at least two data sources; and iteratively use a probabilistic updater to integrate the sensor data as a fused data set and generate a posterior probability distribution function using all of: (1) the fused data set; (2) an application of Bayesian probability; and (3) the prior probability distribution function. The processor further generates an output of a biomedical state using the posterior probability function.


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