ArticleSurgical endoscopy2023
Tracking and evaluating motion skills in laparoscopy with inertial sensors.
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Construct validation of a portable virtual reality simulator for [Formula: see text] laparoscopic camera navigation via machine learning and latent behavioral modeling.Scientific reports · 2026Article
- Physical AI goes to the operating room: are we ready for the Surgical Data Factory?Annals of surgical treatment and research · 2026Review
- Skills assessment for laparoscopic surgery based on computer analysis metrics: ScopePro Trainer.Surgical endoscopy · 2025Article
- Visual attention and cognitive workload using different laparoscopic box trainers and mixed-reality feedback.Surgical endoscopy · 2025Article
- Internet of Things in Medical Education: A Systematic Mapping Review.Medical journal of the Islamic Republic of Iran · 2025Review
- Enhanced 2D Hand Pose Estimation for Gloved Medical Applications: A Preliminary Model.Sensors (Basel, Switzerland) · 2024Article
- Development of a synchronous motion-tracking and video capture tool for flexible ureteroscopy.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnalysis of surgical instrument motion is applicable in surgical skill assessment and monitoring of the learning progress in laparoscopy. Current commercial instrument tracking technology (optical or electromagnetic) has specific limitations and is expensive. Therefore, in this study, we apply inexpensive, off-the-shelf inertial sensors to track laparoscopic instruments in a training scenario.
methodsWe calibrated two laparoscopic instruments to the inertial sensor and investigated its accuracy on a 3D-printed phantom. In a user study during a one-week laparoscopy training course with medical students and physicians, we then documented and compared the training effect in laparoscopic tasks on a commercially available laparoscopy trainer (Laparo Analytic, Laparo Medical Simulators, Wilcza, Poland) and the newly developed tracking setup.
resultsEighteen participants (twelve medical students and six physicians) participated in the study. The student subgroup showed significantly poorer results for the count of swings (CS) and count of rotations (CR) at the beginning of the training compared to the physician subgroup (p = 0.012 and p = 0.042). After training, the student subgroup showed significant improvements in the rotatory angle sum, CS, and CR (p = 0.025, p = 0.004 and p = 0.024). After training, there were no significant differences between medical students and physicians. There was a strong correlation between the measured learning success (LS) from the data of our inertial measurement unit system (LS
conclusionIn the current study, we observed a good and valid performance of inertial measurement units as a possible tool for instrument tracking and surgical skill assessment. Moreover, we conclude that the sensor can meaningfully examine the learning progress of medical students in an ex-vivo setting.
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