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Related Experiment Video

Updated: Dec 20, 2025

Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures

Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures

Published on: April 21, 2013

A generalized predictive control for remote cardiovascular surgical systems.

Zhi Hu¹, Junfeng Zhang², Le Xie³

¹Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering Science, Shanghai, China; School of Instrument Science and Engineering, Southeast University, Nanjing, China.

ISA Transactions

|May 24, 2020

Summary

This summary is machine-generated.

This study enhances robot-assisted cardiovascular surgery transparency by addressing time delays and control errors. New control strategies improve system performance for remote vascular interventions.

Keywords:

Generalized predictive control Terminal sliding mode controller Time-delay Transparency

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Area of Science:

Robotics
Control Systems Engineering
Medical Technology

Background:

Robot-assisted surgery offers benefits like reduced surgeon radiation exposure and fatigue.
Remote robotic surgery can address healthcare disparities by connecting remote areas with experienced surgeons.
Challenges in robotic surgery include time delays, instrument deformation, and nonlinearity, impacting system transparency.

Purpose of the Study:

To analyze evaluation indices for system transparency in robot-assisted cardiovascular surgery.
To develop advanced control strategies to overcome limitations in remote robotic surgery systems.

Main Methods:

Analysis of system transparency evaluation indices.
Development of a generalized predictive control (GPC) strategy to mitigate time-varying delays and parameter errors.
Design of a terminal sliding mode controller (SMC) to enhance system robustness.

Main Results:

The proposed GPC effectively suppresses the impact of time-varying delays and parameter identification errors.
The terminal SMC significantly improves the robustness of the remote vascular interventional surgery system.
Simulation results demonstrate a marked improvement in system transparency.

Conclusions:

The developed control strategy enhances transparency in remote vascular interventional surgery.
Advanced control methods are crucial for overcoming challenges in robotic surgery and improving patient outcomes.
This research contributes to the advancement of safer and more effective remote surgical interventions.