Purpose

The Johns Hopkins–Intuitive Gesture and Skill Assessment Working Set (JIGSAWS) dataset is used to develop robotic surgery skill assessment tools, but there has been no detailed analysis of this dataset. The aim of this study is to perform a learning curve analysis of the existing JIGSAWS dataset.

Methods

Five trials were performed in JIGSAWS by eight participants (four novices, two intermediates and two experts) for three exercises (suturing, knot-tying and needle passing). Global Rating Scores and time, path length and movements were analyzed quantitatively and qualitatively by graphical analysis.

Results

There are no significant differences in Global Rating Scale scores over time. Time in the suturing exercise and path length in needle passing had significant differences. Other kinematic parameters were not significantly different. Qualitative analysis shows a learning curve only for suturing. Cumulative sum analysis suggests completion of the learning curve for suturing by trial 4.

Conclusions

The existing JIGSAWS dataset does not show a quantitative learning curve for Global Rating Scale scores, or most kinematic parameters which may be due in part to the limited size of the dataset. Qualitative analysis shows a learning curve for suturing. Cumulative sum analysis suggests completion of the suturing learning curve by trial 4. An expanded dataset is needed to facilitate subset analyses.

中文翻译：

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JHU–ISI手势和技能评估工作集II的运动分析：学习曲线分析

目的

Johns Hopkins直观手势和技能评估工作集（JIGSAWS）数据集用于开发机器人手术技能评估工具，但尚未对此数据集进行详细分析。这项研究的目的是对现有的JIGSAWS数据集进行学习曲线分析。

方法

在JIGSAWS中，八名参与者（四名新手，两名中级人员和两名专家）在三项练习（缝合，打结和通过针头）中进行了五项试验。通过图形分析定量和定性分析了全球评级得分和时间，路径长度和运动。

结果

随着时间的推移，全球评级量表分数没有显着差异。缝合的时间和穿针的路径长度有显着差异。其他运动学参数没有显着差异。定性分析显示仅用于缝合的学习曲线。累积和分析表明，完成试验4的缝合所需的学习曲线。

结论

现有的JIGSAWS数据集未显示全球评分量表分数或大多数运动学参数的定量学习曲线，这可能部分是由于数据集的大小所致。定性分析显示了缝合的学习曲线。累积总和分析表明试验4已完成缝合学习曲线。需要扩展数据集以促进子集分析。