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. 23, 2026

Filed:

Dec. 14, 2023
Applicants:

Vantive Us Healthcare Llc, Deerfield, IL (US);

Vantive Healthcare Gmbh, Glattpark, CH;

Inventors:

Michael Pettersson, Malmo, SE;

Andreas Winquist, Södra Sandby, SE;

Per Andersson, Fureland, SE;

Assignees:

Vantive US Healthcare LLC, Deerfield, IL (US);

Vantive Healthcare GmbH, Glattpark, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61M 1/28 (2006.01); A61M 1/16 (2006.01);
U.S. Cl.
CPC ...
A61M 1/282 (2014.02); A61M 1/1613 (2014.02); A61M 1/281 (2014.02); A61M 2205/3334 (2013.01); A61M 2205/3341 (2013.01); A61M 2205/502 (2013.01); A61M 2205/52 (2013.01);
Abstract

A dialysis system having motor driven pressure estimation of fluid within a patient line is disclosed. A peritoneal dialysis ('PD') system includes a fluid pump and a patient line that fluidly couples the fluid pump to an indwelling catheter leading into a patient's peritoneal cavity. The PD system also includes a motor driver that controls a motor of the fluid pump and transmits an output signal that is indicative of a load on the motor. The PD system further includes a machine learning algorithm that associates data related to output signals from motor drivers with known fluid pressures within patient lines. A processor of the PD system transmits an input signal to activate the motor driver, receives the output signal from the motor driver, and estimates a fluid pressure within the patient line by applying the data from the received output signal to the machine learning algorithm.


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