Training with a Visual-Haptic Simulator for Trocar Insertion - Data

This dataset is used in conjunction with the manuscript submission entitled: “Training with a Visual-Haptic Simulator for Trocar Insertion,” which is submitted for consideration as a short paper in Transactions on Haptics for presentation with the 2024 Haptics Symposium Conference. Trocar insertions have the greatest risk of injuring a patient during laparoscopic surgery, with most of the injuries being attributed to surgeon error. However, surgeon error can be reduced through proper training. A previous study performed initial testing on a Stewart platform haptic device using a simplified numerical model to simulate key characteristics of a trocar insertion. Thus, in conjunction with the prevalence of laparoscopic surgery and promising preliminary results, the submission presents an iteration of a previous Stewart platform haptic device, utilizing higher fidelity linear actuators, increasing available workspace, and providing a visualization to work alongside the device. A study was performed with eight novices to investigate if the device and visualization train users in the trocar insertion procedure. By the end of the experiment, subjects lowered their error when utilizing the device by over 30% on average. Overall, the device shows potential in the training of trocar insertion, possibly leading to fewer complications and deaths following the procedure.

本数据集与提交的论文《借助视觉-触觉模拟器进行手术刀插入训练》相结合使用，该论文旨在 Transactions on Haptics 期刊上发表，作为2024年触觉学研讨会会议的短篇论文。手术刀插入是腹腔镜手术中患者受伤风险最高的环节，其中大多数伤害归因于外科医生的操作失误。然而，通过适当的培训，可以降低外科医生的操作失误率。一项先前的研究在Stewart平台触觉设备上进行了初步测试，使用简化的数值模型来模拟手术刀插入的关键特性。因此，结合腹腔镜手术的普遍性和初步结果的可靠性，该提交呈现了先前Stewart平台触觉设备的一个迭代版本，该版本采用更高精度的线性执行器，增加了可用的操作空间，并提供与设备协同工作的可视化界面。一项针对八名新手的研究被开展，旨在调查该设备和可视化界面是否能够在手术刀插入程序中训练用户。实验结束时，受试者在使用该设备的情况下，平均错误率降低了超过30%。总体而言，该设备在手术刀插入训练方面显示出巨大的潜力，可能有助于减少手术后的并发症和死亡案例。