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Tracking and evaluating motion skills in laparoscopy with inertial sensors
Christian Heiliger1, Dorian Andrade1, Christian Geister2
1Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.
Surgical Endoscopy
|March 28, 2023
Summary
Inexpensive inertial sensors effectively track laparoscopic instruments for surgical skill assessment. This technology accurately measures learning progress in medical students during training, correlating well with commercial systems.
Area of Science:
- Minimally Invasive Surgery
- Surgical Education Technology
- Biomedical Engineering
Background:
- Laparoscopic surgical skill assessment requires instrument motion analysis.
- Current tracking systems (optical, electromagnetic) are limited and costly.
- Inexpensive inertial sensors offer a viable alternative for tracking laparoscopic instruments.
Purpose of the Study:
- To evaluate the accuracy and effectiveness of inertial sensors for tracking laparoscopic instruments.
- To assess the learning progress of medical students using this new tracking system.
- To compare the performance of inertial sensors against commercial tracking solutions.
Main Methods:
- Calibrated inertial sensors to two laparoscopic instruments.
- Investigated sensor accuracy using a 3D-printed phantom.
- Conducted a one-week user study with medical students and physicians on a laparoscopy trainer, comparing a new tracking setup with a commercial system.
Main Results:
- Inertial sensors demonstrated good and valid performance in tracking instrument motion.
- Significant improvements in surgical task performance (rotatory angle sum, count of swings, count of rotations) were observed in students post-training.
- High correlation (Pearson's r = 0.79) found between learning success measured by inertial sensors and a commercial system.
Conclusions:
- Inertial measurement units are a promising, cost-effective tool for laparoscopic instrument tracking and surgical skill assessment.
- The developed sensor system can meaningfully evaluate learning progress in medical students in an ex-vivo setting.

