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Adaptive Control Improves Sclera Force Safety in Robot-Assisted Eye Surgery: A Clinical Study
IEEE Transactions on Bio-Medical Engineering
|April 6, 2021
Summary
Robotic retinal surgery can reduce surgeon touch feedback, risking eye injury. Adaptive Norm Control (ANC) on the Steady-Hand Eye Robot (SHER) effectively limits unsafe scleral forces, outperforming freehand surgery.
Area of Science:
- Ophthalmology
- Robotics
- Surgical Technology
Background:
- Robotic integration in retinal microsurgery diminishes surgeon perception of tool-tissue interaction forces.
- This sensory deficit, caused by robotic arm inertia, poses an iatrogenic risk in delicate ophthalmic procedures.
Purpose of the Study:
- To evaluate adaptive force control schemes for the Steady-Hand Eye Robot (SHER).
- To mitigate the risk of unsafe scleral forces during robotic eye surgery.
Main Methods:
- Ten ophthalmology trainees performed simulated retinal vessel following using the SHER with adaptive controls and freehand.
- A force-sensing instrument (Fiber Bragg Grating) and a piezo-actuated stage for simulating eyeball motion were utilized.
- Experiments were conducted in a simulated operating room environment.
Main Results:
- The Adaptive Norm Control (ANC) method successfully maintained scleral forces within safe limits.
- ANC demonstrated superior performance in force regulation compared to freehand manipulations.
- Novice users subjectively preferred freehand maneuvers over robotic assistance.
Conclusions:
- Adaptive force control, specifically ANC, is effective in preventing excessive scleral forces in robotic retinal surgery.
- While effective, novice surgeon preference for freehand techniques highlights the need for further training and interface refinement.
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