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:
Jul. 04, 2023

Filed:

Jan. 15, 2020
Applicant:

Abiomed, Inc., Danvers, MA (US);

Inventors:

Ahmad El Katerji, Danvers, MA (US);

Qing Tan, Danvers, MA (US);

Erik Kroeker, Danvers, MA (US);

Rui Wang, Danvers, MA (US);

Assignee:

ABIOMED, INC., Danvers, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/02 (2006.01); A61B 5/029 (2006.01); A61B 5/0215 (2006.01); A61B 5/00 (2006.01); G16H 50/50 (2018.01); A61M 60/422 (2021.01); A61M 60/216 (2021.01); A61M 60/546 (2021.01); A61M 60/122 (2021.01); A61M 60/515 (2021.01); A61M 60/585 (2021.01); A61M 60/538 (2021.01); A61M 60/523 (2021.01); A61M 60/592 (2021.01); A61M 60/531 (2021.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/02007 (2013.01); A61B 5/029 (2013.01); A61B 5/0215 (2013.01); A61B 5/02028 (2013.01); A61B 5/6852 (2013.01); A61M 60/122 (2021.01); A61M 60/216 (2021.01); A61M 60/422 (2021.01); A61M 60/515 (2021.01); A61M 60/523 (2021.01); A61M 60/531 (2021.01); A61M 60/538 (2021.01); A61M 60/546 (2021.01); A61M 60/585 (2021.01); A61M 60/592 (2021.01); A61M 2205/04 (2013.01); A61M 2205/103 (2013.01); A61M 2205/3334 (2013.01); A61M 2205/3365 (2013.01); A61M 2205/502 (2013.01); A61M 2206/10 (2013.01);
Abstract

Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.


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