Extended intelligence for cardiac implantable electronic device (CIED) placement procedures

Patent metadata

Field	Value
Publication number	US-12558167-B2
Application number	US-202217700622-A
Country	US
Kind code	B2
Filing date	Mar 22, 2022
Priority date	May 12, 2021
Publication date	Feb 24, 2026
Grant date	Feb 24, 2026

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.

First claim

What is claimed is:

1 . A method, comprising:
receiving, using a computing system and during a cardiac implantable electronic device (“CIED”) placement procedure for a patient, one or more first layer input data from one or more first devices, the one or more first layer input data comprising at least one of movement data, position data, relative distance data, or externally observable data, wherein the at least one of movement data, position data, relative distance data, or externally observable data pertains to each of one or more persons and one or more objects within a real-world clinical environment for performing the CIED placement procedure, wherein the one or more persons include medical staff other than a medical professional performing the CIED placement procedure; receiving, using the computing system, one or more second layer input data from one or more second devices, the one or more second layer input data comprising at least one of one or more patient sensor data for monitoring procedure-relevant aspects of the patient, one or more patient imaging data for monitoring images of one or more portions of a body of the patient, or one or more navigation and mapping data for monitoring one or more surgical devices relative to the one or more portions of the body of the patient; analyzing, using the computing system, the received one or more first layer input data and the received one or more second layer input data; generating, using the computing system, one or more recommendations for guiding the medical professional in performing the CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising three-dimensional (“3D”) or four-dimensional (“4D”) mapped guides toward, in, or around the heart of the patient, the 3D or 4D mapped guides comprising one or more graphical bounds for the CIED or a trajectory of the CIED to guide the medical professional in performing the CIED placement procedure; generating, using the computing system, one or more extended reality (“XR”) images, based at least in part on the generated one or more recommendations; presenting, using the computing system and using a user experience (“UX”) device, the generated one or more XR images; and generating, using the computing system, one or more control instructions to at least one robotic system based at least in part on the analysis of the received one or more first layer input data and the received one or more second layer input data.

2 . The method of claim 1 , wherein the computing system comprises at least one of an XR computing system, a medical procedure computing system, a hub computing system, a 3D graphical processing unit, a cluster computing system, a 4D graphics computing system, a server computer, a cloud computing system, or a distributed computing system.

3 . The method of claim 1 , wherein the one or more surgical devices comprise at least one of one or more catheters, one or more catheter interconnect cables, one or more leads, one or more pacemakers, one or more defibrillators, one or more rigid robotic devices, one or more soft robotic devices, one or more robotic systems, one or more robotic arms, one or more needles, one or more therapeutic delivery devices, one or more implant delivery devices, one or more diagnostic devices, one or more diagnostic catheters, one or more implant devices, one or more surgical tools, one or more monitoring devices, one or more cameras, one or more imaging tools, one or more fiducials, one or more staples, one or more anchors, one or more embolic protection devices, one or more cardiomyoplasty tools, one or more vascular closure tools, one or more septal closure tools, one or more guide wires, one or more introducers, one or more sheaths, an implantable cardioverter defibrillator (“ICD”) device, an extravascular ICD (“EV-ICD”), a miniature leadless implant, a conduction system pacing (“CSP”) device, an implantable bradycardia pacemaker with leads, a leadless bradycardia pacemaker, a low power implantable cardiac resynchronization therapy (“CRT-P”) device, a high power implantable cardiac resynchronization therapy (“CRT-D”) device, or one or more capital equipment.

4 . The method of claim 1 , wherein the one or more patient sensor data are obtained using one or more sensors comprising at least one of one or more chronically implanted sensors, one or more diagnostic sensors, one or more surgical sensors, one or more wearable sensors, one or more gas sensors, one or more optical sensors, one or more impedance sensors, one or more ultrasound sensors, one or more flow sensors, one or more blood velocity sensors, one or more blood volume sensors, one or more electrical sensors, one or more voltage sensors, one or more amperage sensors, one or more wattage sensors, one or more impedance sensors, one or more motion sensors, one or more sound sensors, one or more blood pressure sensors, one or more heart rate sensors, one or more pulse sensors, one or more oxygen sensors, one or more carbon dioxide (“CO 2 ”) sensors, one or more fluid levels, one or more doppler sensors, one or more biomarker sensors, one or more perfusion sensors, one or more electromyography (“EMG”) sensors, one or more sleep sensors, one or more cardiac hemodynamics sensors, one or more ischemia sensors, one or more hematocrit (“HCT”) level sensors, one or more biometric sensors, one or more electroencephalographic (“EEG”) sensors, or one or more pain sensors.

5 . The method of claim 1 , wherein the one or more patient imaging data are obtained using one or more imaging devices comprising at least one of a magnetic resonance imaging (“MRI”) system, a computed tomography (“CT”) system, an ultrasound (“US”) system, an electromechanical wave imaging (“EWI”) system, a magnetic resonance angiography (“MRA”) system, a computed tomography angiography (“CTA”) system, a blood oxygen-level dependent signal (“BOLD”) system, an electroencephalography (“EEG”) system, an optical coherence tomography (“OCT”) system, a dynamic susceptibility contrast (“DSC”) MRI system, a fluoroscopy system, an X-ray system, or an endoscopy system.

6 . The method of claim 1 , wherein the CIED placement procedure comprises at least one of a cardiac mapping procedure, a cardiac resynchronization therapy (“CRT”) device installation procedure, a right ventricular pacing (“RVP”) procedure, a His bundle pacing (“HBP”) procedure, a left bundle branch pacing (“LBBP”) lead placement procedure, a right bundle branch pacing (“RBBP”) lead placement procedure, a bilateral bundle branch area pacing (“BBBP”) lead placement procedure, an implant procedure, an implantable cardioverter defibrillator (“ICD”) device installation procedure, an extravascular ICD (“EV-ICD”) device installation procedure, a pacemaker installation procedure, a miniature leadless implant installation procedure, or a remote monitoring device installation procedure.

7 . The method of claim 1 , wherein the one or more XR images comprise at least one of one or more augmented reality (“AR”) images, one or more AR videos, one or more virtual reality (“VR”) images, one or more VR videos, one or more mixed reality (“MR”) images, one or more MR videos, one or more XR images, or one or more XR videos.

8 . The method of claim 1 , wherein the UX device comprises at least one of a headset, UX glasses, a viewing window, a supplement to existing glasses, headphones, UX contact lenses, a heads-up display (“HUD”) device, a 3D spatial sound system, a telemonitoring system, a rigid robotic device control and sensory feedback system, a soft robotic device control and sensory feedback system, an eye control system, a voice control system, a remote control system, a gesture-based con

Assignees

• Medtronic Inc

Inventors

• Braido Peter N
• Schulhauser Randal C
• Zhou Xiaohong
• Cheng Alan
• Yang Zhongping

Classifications

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• A61N1/3956

  Implantable devices for applying electric shocks to the heart, e.g. for cardioversion · CPC title

• A61B2034/303

  specifically adapted for manipulations within body lumens, e.g. within lumen of gut, spine, or blood vessels · CPC title

• A61N1/362

  Heart stimulators (heart defibrillators A61N1/39) · CPC title

• A61B2090/365

  augmented reality, i.e. correlating a live optical image with another image · CPC title