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3D Autonomous Surgeon's Hand Movement Assessment Using a Cascaded Fuzzy Supervisor in Multi-Thread Video Processing.

Fatemeh Rashidi Fathabadi¹, Janos L Grantner¹, Saad A Shebrain²

¹Electrical & Computer Engineering Department, Western Michigan University, Kalamazoo, MI 49008, USA.

Sensors (Basel, Switzerland)

|March 11, 2023

Summary

This study introduces an autonomous system for assessing laparoscopic surgery skills using an intelligent box-trainer. The system accurately evaluates surgeon hand movements, reducing the need for human supervision in surgical training.

Keywords:

fuzzy logic-based decision support system intelligent box-trainer system laparoscopic surgical skill assessment multi-class object detection

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Area of Science:

Surgical Education
Medical Simulation
Robotics and Automation

Background:

Laparoscopic surgery training requires objective skill assessment.
Current methods rely on expert supervision, which is costly and time-consuming.
Simulation-based training offers a safe environment for skill development.

Purpose of the Study:

To develop an autonomous system for evaluating laparoscopic surgical skills.
To monitor surgeon hand movements during simulated surgical tasks.
To eliminate the need for human intervention in skill assessment.

Main Methods:

Utilized an intelligent box-trainer system (IBTS) with two cameras.
Implemented multi-thread video processing for 3D hand movement analysis.
Employed a cascaded fuzzy logic assessment system to evaluate instrument handling.

Main Results:

The autonomous system accurately assessed surgeon hand movements.
Results were delivered autonomously within approximately 10 seconds post-exercise.
The system demonstrated potential for objective and efficient skill evaluation.

Conclusions:

The intelligent box-trainer system provides an autonomous solution for laparoscopic skill assessment.
This technology can enhance surgical training by offering objective, real-time feedback.
Future work will focus on enhancing computational power for real-time performance assessment.