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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.

Patent No.:

US 12733820 B1

PDFFull Text
Date of Patent:
Sep. 15, 2026

Filed:

Aug. 14, 2020

System and methods for real time noninvasive estimation of cardiovascular parameters using machine learning

Applicant:

Ecole Polytechnique Federale DE Lausanne (Epfl), Lausanne, CH;

Inventors:

Vasiliki Bikia, Lausanne, CH;

Stamatia Pagoulatou, Lausanne, CH;

Nikolaos Stergiopulos, Preverenges, CH;

Assignee:

Ecole Polytechnique Federale De Lausanne (EPFL), Lausanne, CH;

Attorneys:

Greenberg Traurig, LLP

Christopher C. Bolten

Robert D. Ward

Primary Examiner:

Michael R Bloch

Int. Cl.
CPC ...
A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 5/021 (2006.01); A61B 5/022 (2006.01); A61B 5/024 (2006.01); A61B 5/029 (2006.01); A61B 5/318 (2021.01); A61B 7/02 (2006.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
A61B 5/02 (2013.01); A61B 5/02007 (2013.01); A61B 5/02125 (2013.01); A61B 5/022 (2013.01); A61B 5/024 (2013.01); A61B 5/029 (2013.01); A61B 5/318 (2021.01); A61B 5/7221 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); A61B 7/02 (2013.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01);
Abstract

Systems and methods are provided for that use noninvasively measured physiologic parameters to predict in real time noninvasively unobservable cardiovascular parameters by employing a one-dimensional arterial tree numerical model calibrated with representative patient data. The numerical model further may be trained and calibrated on a larger database that includes synthetic data using machine-learning algorithms to provide a robust generalized estimator for multiple cardiovascular and hemodynamic parameters.

Find Patent Forward Citations

Bikia, Vasiliki. (2026). System and methods for real time noninvasive estimation of cardiovascular parameters using machine learning (U.S. Patent No. 12733820). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12733820

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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