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Open AccessArticle

Application of a Perception Neuron® System in Simulation-Based Surgical Training

1
Department of Surgery, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
2
Interdisciplinary Program in Bioengineering, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
3
Korea Electrotechnology Research Institute, 111, Hanggaul-ro, Sangnok-gu, Ansan-si 15588, Korea
4
Department of Surgery, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea
5
Department of Biomedical Engineering, Chungnam National University College of Medicine, 266 Munhwa-ro, Jung-gu, Daejeon 36015, Korea
6
Department of Surgery, Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
7
Department of Surgery, Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea
8
Department of Anatomy and Cell Biology, Neuroscience Research Institute, Wide River Institute of Immunology, BK21Plus Biomedical Science Project, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
9
Department of Biomedical Engineering, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Clin. Med. 2019, 8(1), 124; https://doi.org/10.3390/jcm8010124
Received: 18 December 2018 / Revised: 6 January 2019 / Accepted: 17 January 2019 / Published: 21 January 2019
(This article belongs to the Special Issue Robotic Surgery)
While multiple studies show that simulation methods help in educating surgical trainees, few studies have focused on developing systems that help trainees to adopt the most effective body motions. This is the first study to use a Perception Neuron® system to evaluate the relationship between body motions and simulation scores. Ten medical students participated in this study. All completed two standard tasks with da Vinci Skills Simulator (dVSS) and five standard tasks with thyroidectomy training model. This was repeated. Thyroidectomy training was conducted while participants wore a perception neuron. Motion capture (MC) score that indicated how long the tasks took to complete and each participant’s economy-of-motion that was used was calculated. Correlations between the three scores were assessed by Pearson’s correlation analyses. The 20 trials were categorized as low, moderate, and high overall-proficiency by summing the training model, dVSS, and MC scores. The difference between the low and high overall-proficiency trials in terms of economy-of-motion of the left or right hand was assessed by two-tailed t-test. Relative to cycle 1, the training model, dVSS, and MC scores all increased significantly in cycle 2. Three scores correlated significantly with each other. Six, eight, and six trials were classified as low, moderate, and high overall-proficiency, respectively. Low- and high-scoring trials differed significantly in terms of right (dominant) hand economy-of-motion (675.2 mm and 369.4 mm, respectively) (p = 0.043). Perception Neuron® system can be applied to simulation-based training of surgical trainees. The motion analysis score is related to the traditional scoring system. View Full-Text
Keywords: Surgical training; simulation; motion capture; thyroidectomy training model; perception neuron Surgical training; simulation; motion capture; thyroidectomy training model; perception neuron
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Kim, H.S.; Hong, N.; Kim, M.; Yoon, S.G.; Yu, H.W.; Kong, H.-J.; Kim, S.-J.; Chai, Y.J.; Choi, H.J.; Choi, J.Y.; Lee, K.E.; Kim, S.; Kim, H.C. Application of a Perception Neuron® System in Simulation-Based Surgical Training. J. Clin. Med. 2019, 8, 124.

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