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Motion-Based Technical Skills Assessment in Transoesophageal Echocardiography

机译:经食道超声心动图基于运动的技术技能评估

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摘要

This paper presents a novel approach for evaluating technical skills in Transoesophageal Echocardiography (TEE). Our core assumption is that operational competency can be objectively expressed by specific motion-based measures. TEE experiments were carried out with an augmented reality simulation platform involving both novice trainees and expert radiologists. Probe motion data were collected and used to formulate various kinematic parameters. Subsequent analysis showed that statistically significant differences exist among the two groups for the majority of the metrics investigated. Experts exhibited lower completion times and higher average velocity and acceleration, attributed to their refined ability for efficient and economical probe manipulation. In addition, their navigation pattern is characterised by increased smoothness and fluidity, evaluated through the measures of dimensionless jerk and spectral arc length. Utilised as inputs to well-known clustering algorithms, the derived metrics are capable of discriminating experience levels with high accuracy (>84%).
机译:本文提出了一种评估经食管超声心动图(TEE)技术技能的新颖方法。我们的核心假设是,可以通过基于动议的特定措施来客观地表达运营能力。 TEE实验是使用增强现实仿真平台进行的,该平台包括新手学员和放射线专家。收集探针运动数据并用于制定各种运动学参数。随后的分析表明,对于大多数调查指标而言,两组之间在统计上存在显着差异。专家们展示了更短的完成时间以及更高的平均速度和加速度,这归功于他们精巧的高效而经济的探针操作能力。此外,它们的导航模式还具有增加的平滑度和流动性的特点,可通过无因次跳动和光谱弧长的测量来评估。用作公知的聚类算法的输入,导出的指标能够以较高的准确度(> 84%)来区分经验水平。

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