1. A haptic laparoscopic trainer based on affine velocity analysis: engineering and preliminary results
- Author
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Benjamin De Witte, Charles Barnouin, Richard Moreau, Arnaud Leleve, Xavier Martin, Christian Collet, Nady El Hoyek, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Ampère, Département Automatique pour l'Ingénierie des Systèmes (AIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Lyon, Service d'Urologie et Chirurgie de la Transplantation, Hôpital Edouard Herriot [CHU - HCL], and Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL)
- Subjects
Surgeons ,lcsh:Surgery ,Motor skills ,lcsh:RD1-811 ,Affine velocity ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,Engineering ,Minimal invasive surgery ,Simulator validation ,Humans ,Assessment metrics ,Laparoscopy ,Clinical Competence ,Simulation Training ,Research Article - Abstract
Background: General agreement exists upon the importance of acquiring laparoscopic skills outside the operation room. During the past two decades, simulation-based training and simulators have been more extensively used in surgeons’ training. Nevertheless learning through simulation-based systems is hindered by several flaws. High-fidelity simulators are cost-prohibitive which limits training opportunities. Their use also elicits a high cognitive load. Low-fidelity simulators lack in haptic, direct and summative feedback. Our goal is to develop a new low fidelity simulator integrating effective learning features as a new assessment variable while limiting the associated costs. We also aim at assessing its primary validity. Methods: We engineered a low fidelity simulator for teaching basic laparoscopic skills taking into account psychomotor skills, direct and summative feedback and engineering key features (haptic feedback and complementary assessment variables). Afterward, 77 participants with 4 different surgical skill levels (17 experts; 12 intermediates; 28 inexperienced interns and 20 novices) tested the simulator. We checked the content validity using a 10 point Likert scale. We also assessed the simulator discriminative power by comparing the 4 groups’ performance over two sessions. To do so, we used 3 variables: time, number of errors (collisions) and affine velocity. Results: The content validation mean value score was 7.57/10. The statistical analysis yielded performance discrepancies on the selected variables among the groups (pConclusion: We developed an affordable and validated simulator for testing and learning basic laparoscopic skills. The results exhibit three levels of performance on the selected variables. Experts and intermediates outperformed the inexperienced interns who in turn outperformed the novices. Results show that the embedded evaluation variables are complimentary and provide realistic results. The inclusion of a new variable and, meanwhile, haptic, direct and summative feedback is innovative regarding low-fidelity simulators. Limitations and implementation conditions of the simulator in the surgical curricula are discussed.
- Published
- 2020
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