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:
Apr. 27, 2021

Filed:

Jul. 23, 2018
Applicant:

Cardioflow Technologies, Llc, Nashville, TN (US);

Inventor:

Daniel Walter Kaiser, Palo Alto, CA (US);

Assignee:

CARDIOFLOW TECHNOLOGIES, LLC, Nashville, TN (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61N 1/365 (2006.01); A61B 5/02 (2006.01); A61B 5/029 (2006.01); A61B 5/026 (2006.01); A61B 5/0205 (2006.01); A61B 5/042 (2006.01); A61B 5/0215 (2006.01); A61N 1/05 (2006.01); A61M 25/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/6852 (2013.01); A61N 1/365 (2013.01); A61N 1/36514 (2013.01); A61B 5/0205 (2013.01); A61B 5/029 (2013.01); A61B 5/02028 (2013.01); A61B 5/0261 (2013.01); A61B 5/02158 (2013.01); A61B 5/0422 (2013.01); A61B 5/4848 (2013.01); A61M 2025/0002 (2013.01); A61M 2025/0003 (2013.01); A61N 1/056 (2013.01); A61N 1/36564 (2013.01); A61N 1/36571 (2013.01);
Abstract

Systems and methods are provided for optimizing hemodynamics within a patient. Specifically, the system incorporates invasive sensor data (e.g., pressure measurements) combined with mechanisms to dynamically change the loading conditions of the heart and/or heart rate, in order to understand hemodynamic parameters. Computational analyses on dynamic sensor data are used to understand and guide heart rate, filling pressures, and/or volume resuscitation in critically ill patients. By pacing the heart or inducing tricuspid regurgitation, the system may cause dynamic changes in sensor data to understand optimal loading conditions and heart rates. While determining optimal hemodynamic parameters, the system may then automatically optimize the heart rate and/or filling pressures in critically ill patients.


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