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Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker

机译:Neuro-Endo-activity-tracker:Neuro-Endo-Trainer的自动活动检测应用程序:Neuro-Endo-activity-tracker

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Neuro-endoscopy is a highly demanding surgical specialty and requires dedicated training systems for imparting the skills. The assessment of surgical skills to identify the level of expertise of technical and cognitive skills, has primarily been performed subjectively by an expert. The development of objective motion analyses and automated skills evaluation can be a significant and suitable alternative. The video-based automatic segmentation can divide the primary activity into sub-tasks and then evaluate them by statistical analysis of motion. In this work, we developed an automated video-based surgical evaluation application. It identifies the basic eye-hand coordination and dexterity of a trainee, while performing a grasping and pick-place task on Neuro-Endo-Trainer. The activity was divided into sub-tasks using Mixture of Gaussian based background subtraction and Tracking Learning Detection algorithms. The kinematic analysis of the tool-tip trajectory was used to provide the synopsis of activity as feedback to the trainee for self-improvement.
机译:神经内窥镜检查是要求很高的外科专业,需要专门的培训系统来传授技能。外科手术技能评估主要是由专家主观进行的,以确定技术和认知技能的专业水平。客观运动分析和自动技能评估的发展可能是一个重要且合适的选择。基于视频的自动分割可以将主要活动划分为子任务,然后通过运动的统计分析对其进行评估。在这项工作中,我们开发了一个基于视频的自动化手术评估应用程序。它可以识别受训者的基本眼手协调性和敏捷性,同时在Neuro-Endo-Trainer上执行抓握和放置任务。使用基于高斯混合的背景减法和跟踪学习检测算法将活动分为子任务。通过对工具提示轨迹的运动学分析来提供活动概要,以作为对学员自我完善的反馈。

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