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Experience-based virtual training system for knee arthroscopic inspection
BACKGROUND: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination. Traditional training methods as well as virtual reality approach lack the direct guidance of an experienced physician. METHODS: This paper pre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716927/ https://www.ncbi.nlm.nih.gov/pubmed/23826988 http://dx.doi.org/10.1186/1475-925X-12-63 |
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author | Lyu, Shaw-Ruey Lin, Yen-Kun Huang, Shian-Tang Yau, Hong-Tzong |
author_facet | Lyu, Shaw-Ruey Lin, Yen-Kun Huang, Shian-Tang Yau, Hong-Tzong |
author_sort | Lyu, Shaw-Ruey |
collection | PubMed |
description | BACKGROUND: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination. Traditional training methods as well as virtual reality approach lack the direct guidance of an experienced physician. METHODS: This paper presents an experience-based arthroscopic training simulator that integrates motion tracking with a haptic device to record and reproduce the complex trajectory of an arthroscopic inspection procedure. Optimal arthroscopic operations depend on much practice because the knee joint space is narrow and the anatomic structures are complex. The trajectory of the arthroscope from the experienced surgeon can be captured during the clinical treatment. Then a haptic device is used to guide the trainees in the virtual environment to follow the trajectory. RESULTS: In this paper, an experiment for the eight subjects’ performance of arthroscopic inspection on the same simulator was done with and without the force guidance. The experiment reveals that most subjects’ performances are better after they repeated the same inspection five times. Furthermore, most subjects’ performances with the force guidance are better than those without the force guidance. In the experiment, the average error with the force guidance is 33.01% lower than that without the force guidance. The operation time with the force guidance is 14.95% less than that without the force guidance. CONCLUSIONS: We develop a novel virtual knee arthroscopic training system with virtual and haptic guidance. Compared to traditional VR training system that only has a single play-script based on a virtual model, the proposed system can track and reproduce real-life arthroscopic procedures and create a useful training database. From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees. Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon. |
format | Online Article Text |
id | pubmed-3716927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37169272013-07-23 Experience-based virtual training system for knee arthroscopic inspection Lyu, Shaw-Ruey Lin, Yen-Kun Huang, Shian-Tang Yau, Hong-Tzong Biomed Eng Online Research BACKGROUND: Arthroscopic surgical training is inherently difficult due to limited visibility, reduced motion freedom and non-intuitive hand-eye coordination. Traditional training methods as well as virtual reality approach lack the direct guidance of an experienced physician. METHODS: This paper presents an experience-based arthroscopic training simulator that integrates motion tracking with a haptic device to record and reproduce the complex trajectory of an arthroscopic inspection procedure. Optimal arthroscopic operations depend on much practice because the knee joint space is narrow and the anatomic structures are complex. The trajectory of the arthroscope from the experienced surgeon can be captured during the clinical treatment. Then a haptic device is used to guide the trainees in the virtual environment to follow the trajectory. RESULTS: In this paper, an experiment for the eight subjects’ performance of arthroscopic inspection on the same simulator was done with and without the force guidance. The experiment reveals that most subjects’ performances are better after they repeated the same inspection five times. Furthermore, most subjects’ performances with the force guidance are better than those without the force guidance. In the experiment, the average error with the force guidance is 33.01% lower than that without the force guidance. The operation time with the force guidance is 14.95% less than that without the force guidance. CONCLUSIONS: We develop a novel virtual knee arthroscopic training system with virtual and haptic guidance. Compared to traditional VR training system that only has a single play-script based on a virtual model, the proposed system can track and reproduce real-life arthroscopic procedures and create a useful training database. From our experiment, the force guidance can efficiently shorten the learning curve of novice trainees. Through such system, novice trainees can efficiently develop required surgical skills by the virtual and haptic guidance from an experienced surgeon. BioMed Central 2013-07-04 /pmc/articles/PMC3716927/ /pubmed/23826988 http://dx.doi.org/10.1186/1475-925X-12-63 Text en Copyright © 2013 Lyu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Lyu, Shaw-Ruey Lin, Yen-Kun Huang, Shian-Tang Yau, Hong-Tzong Experience-based virtual training system for knee arthroscopic inspection |
title | Experience-based virtual training system for knee arthroscopic inspection |
title_full | Experience-based virtual training system for knee arthroscopic inspection |
title_fullStr | Experience-based virtual training system for knee arthroscopic inspection |
title_full_unstemmed | Experience-based virtual training system for knee arthroscopic inspection |
title_short | Experience-based virtual training system for knee arthroscopic inspection |
title_sort | experience-based virtual training system for knee arthroscopic inspection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716927/ https://www.ncbi.nlm.nih.gov/pubmed/23826988 http://dx.doi.org/10.1186/1475-925X-12-63 |
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