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:
Feb. 24, 2026

Filed:

Mar. 22, 2022
Applicant:

Medtronic, Inc., Minneapolis, MN (US);

Inventors:

Peter N. Braido, Linwood, MN (US);

Randal C. Schulhauser, Phoenix, AZ (US);

Xiaohong Zhou, Woodbury, MN (US);

Alan Cheng, Golden Valley, MN (US);

Zhongping Yang, Woodbury, MN (US);

Assignee:

MEDTRONIC, INC., Minneapolis, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/20 (2016.01); A61N 1/362 (2006.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 34/30 (2016.01); A61B 90/00 (2016.01); A61N 1/39 (2006.01);
U.S. Cl.
CPC ...
A61B 34/20 (2016.02); A61N 1/362 (2013.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 2034/303 (2016.02); A61B 2090/365 (2016.02); A61N 1/3956 (2013.01);
Abstract

Novel tools and techniques are provided for implementing intelligent assistance ('IA') or extended intelligence (“EI”) ecosystem to placement procedures for cardiac implantable electronic device (“CIED”). In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in performing a CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the heart of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.


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