A novel Integrated Motion Tracking Device (IMTD) for Objective Laparoscopic Training Assessment: Development and Validation

TL;DR

This paper introduces a new compact motion-tracking device for laparoscopic training that is accurate, reliable, low-cost, and suitable for real-time feedback, enhancing surgical skill development.

Contribution

The development and validation of a novel, integrated 4-DOF motion-tracking device specifically designed for laparoscopic training environments.

Findings

IMTD shows comparable accuracy to MoCap systems.

The device effectively tracks surgical gestures in real-time.

IMTD is low-cost and easy to integrate into training setups.

Abstract

This paper presents a novel, compact four-degree-of-freedom motion-tracking device (IMTD) designed for training and evaluation in laparoscopic surgery. The device's kinematics, mechanical design, instrumentation, and prototypes are developed and presented to meet the specific requirements of laparoscopic training context, including movement around a fixed center of motion and seamless integration into standard box trainers. The system IMTD's tracking accuracy and reliability are compared to a motion capture system (MoCap), assessing its ability to capture both angular and translational motions of surgical instruments. The study then focuses on key performance parameters including precision, fluidity, speed, and overall motion efficiency. The results highlight the system's effectiveness in tracking surgical gestures, providing valuable insights into its potential as a tool for training and performance evaluation in minimally invasive surgery. Additionally, IMTD's low cost and integrated design allow for easy integration and implementation in training rooms, offering a practical and accessible solution for general use. By offering objective, real-time feedback, the system can significantly contribute to improving surgical skills and shortening the learning curve for novice students, while also providing a foundation for future development of gesture scoring algorithms and standardized training protocols.