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Abstract
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| Background: Basic laparoscopic skills need to be acquired during the training of surgeons. Hybrid simulators are used in these early stages because they allow an objective assessment of the work performed. Purpose: The aim of this study is to develop a system of supervised training video-based analysis. Some metrics defined by experienced surgeons are implemented in our automatic system. Finally, a construct validity of the system is performed to ensure that the system design is adequate. Methods: A total of 12 surgeons were chosen to constitute the sample of this study. The Simulap IC-05 box-trainer was used to carry out surgical training exercises and the Augmented Reality Haptic (ARH) system was used to support the development of algorithms for videobased techniques. Eye-hand coordination, camera manipulation and two-handed manoeuvres exercises were selected to be performed by surgeons during their training period. Results: Proper differences between the study subjects have been found. The videobased automated system offers promising results in the analysis of the exercises performed by subjects with different surgical experience. Conclusions: Preliminary results confirm that our automatic systems can be useful in the learning process to assess objectively basic surgical skills. Furthermore, processing time could be reduced by using the automatic video-based technique instead of manual review by experts. | |
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International
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Si |
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JCR
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No |
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Title
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Minimally Invasive Theraphy & Allied Technologies |
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ISBN
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1364-5706 |
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Impact factor JCR
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0 |
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Impact info
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Volume
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10 |
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Journal number
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10 |
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From page
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55 |
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To page
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56 |
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Month
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AGOSTO |
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Ranking
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