Hybrid control algorithm for precision motion in robot-assisted cardiac catheterization.

Area of Science:

• Cardiovascular Interventions
• Robotics in Medicine
• Control Systems Engineering

Background:

• Cardiovascular diseases are a major global health concern.
• Robotic-assisted cardiac catheterization offers precision but requires advanced control.
• Existing systems face challenges in motion accuracy and stability.

Purpose of the Study:

• To develop and validate a hybrid control algorithm for enhanced robotic-assisted cardiac catheterization.
• To improve catheter manipulation accuracy, stability, and responsiveness.
• To reduce tracking errors in real-time cardiovascular interventions.

Main Methods:

• Implementation of a hybrid control algorithm, specifically a Feed-Forward PID (FFPID) controller.
• Integration of high-precision mechanical systems (roller-based, gear-driven, belt-pulley) for catheter manipulation.
• Utilizing spring-loaded force dynamics for torque estimation and experimental validation.

Main Results:

• The FFPID controller demonstrated superior motion accuracy, optimizing overshoot and settling times.
• Achieved precise translational motion (approx. 1 mm/s) and rotational movement (0.9°/pulse).
• Experimental validation showed minimal displacement error (RMSE < 0.017 mm, R² = 0.999) and angular precision (RMSE < 0.11°, overshoot < 1%).

Conclusions:

• The FFPID controller is effective for real-time catheter control in robotic-assisted cardiac procedures.
• Hybrid control strategies enhance precision, stability, and efficiency in cardiovascular interventions.
• This research paves the way for more intelligent and autonomous cardiovascular surgical systems.