IP Library Granted Patent US 11,875,701
Granted Patent B2
US 11,875,701 · App. 17/520,852 · Granted Jan 16, 2024

Adaptive force guidance system for computer-assisted laparoscopy training

Inventors: Minsik Hong (Tucson, AZ); Jerzy W Rozenblit (Tucson, AZ)
Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA
G09B23/285G09B19/003G16H40/63G16H70/20
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Quick Facts
Patent No.
US 11,875,701
App. No.
17/520,852
Granted
Jan 16, 2024
Kind
B2
Abstract

An adaptive force guidance system for laparoscopic surgery skills training includes self-adjusting fuzzy sliding mode controllers and switching mode controllers to provide proper force feedback. Using virtual fixtures, the system restrictS motions and/or guide a trainee to navigate a surgical instrument in a 3D space in a manner that mimics a human instructor who would teach trainees by holding their hands. The self-adjusting controllers incorporate human factors such as different force sensitivity and proficiency level.

Claims (17)

1. An adaptive force guidance system for surgical training, comprising:

a hands-on physical interface that includes a fixture supporting an actuator-controllable surgical instrument for performing a surgical training task on a physical reality training arrangement using the actuator-controllable surgical instrument, the hands-on physical interface further including at least one sensor for receiving task performance data;

a processor configured to:

generate or acquire a surgical training task that includes a sequence of actions to be performed by a user of the actuator-controllable surgical instrument for performing a surgical training task on the physical reality training arrangement, each action in the sequence of actions being associated with guidance geometry specifying a recommended path to be traversed to perform the action;

while each action is being performed by the user of the actuator-controllable surgical instrument as part of the surgical training task, receive task performance data reflecting an amount by which the action being performed by the user causes a deviation from the recommended path; and

while each action is being performed by the user of the actuator-controllable surgical instrument, cause an adaptive feedback force to be applied to the actuator-controllable surgical instrument based at least in part on the task performance data that is received, the adaptive feedback force causing a reduction in the deviation from the recommended path.

2. The system of claim 1 , wherein a magnitude of the adaptive feedback force that is applied is determined by a control gain, the processor being further configured to adjust the control gain based at least in part on a magnitude of the deviation.

3. The system of claim 2 , wherein the processor is further configured to increase the magnitude of the control gain as the magnitude of the deviation increases and subsequently decrease the magnitude of the control gain as the user properly manipulates the actuator-controllable surgical instrument in accordance with the guidance geometry.

4. The system of claim 2 , wherein the processor is further configured to adjust the control gain based at least in part on an evaluation of past user performance data when performing previous actions in the surgical training task such that the user has more control authority when the past user performance data indicates greater proficiency and has less control authority when the past user performance data indicates less proficiency.

5. The system of claim 2 , wherein the processor is further configured to adjust the control gain based at least in part on an evaluation of historical training data of the user from previous training sessions such that the user has more control authority when the evaluation indicates greater proficiency and has less control authority when the evaluation indicates less proficiency.

6. The system of claim 1 , wherein the processor is further configured to adjust a rate at which guidance intervention is provided based at least in part on an evaluation of past user performance data when performing previous actions in the surgical training task such that the user has more control authority when the past user performance data indicates greater proficiency and has less control authority when the past user performance data indicates less proficiency.

7. The system of claim 6 , wherein the guidance intervention that is provided is selected from the group comprising a frequency at which adaptive feedback force intervention is applied, a rate at which visual guidance provided, and a rate at which audio guidance is provided.

8. The system of claim 2 , wherein the task performance data further reflects one or more characteristics of the actuator-controllable surgical instrument as the user is performing the action, the processor being further configured to adjust the control gain based at least in part on the one or more characteristics.

9. The system of claim 8 , wherein the one or more characteristics are selected from the group comprising a direction in which a tip of the actuator-controllable surgical instrument is moving while the user performs the action and a speed at which the actuator-controllable surgical instrument is moving while performing the action.

10. The system of claim 1 , wherein the adaptive feedback force includes an attractive adaptive feedback force.

11. The system of claim 1 , wherein the processor is further configured to generate performance evaluation data assessing user proficiency at a completion of the training task.

12. The system of claim 1 , wherein the adaptive feedback force includes an assistive adaptive feedback force.

Assignments (2)
CONFIRMATORY LICENSE Recorded May 29, 2025
From: UNIVERSITY OF ARIZONA
To: NATIONAL SCIENCE FOUNDATION
Reel/Frame 071455/0202 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 8, 2021
From: HONG, MINSIK; ROZENBLIT, JERZY W.
To: ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA
Reel/Frame 058335/0287 →
Continuity (2)
Provisional Application 63110549 · Nov 6, 2020
Related Publication 20220148458A1 · May 12, 2022