Real-Time Haptic Performance Feedback for Model-Based Surgical Skill Training

用于基于模型的手术技能训练的实时触觉性能反馈

• 批准号: 2049063
• 负责人: Marcia O'Malley
• 金额: $ 76.31万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2049063&HistoricalAwards=false
• 关键词: Real; Time; Haptic; Performance; Feedback

The goal of this project is to make endovascular surgical training in virtual reality-based simulators faster, more consistent, and more efficacious by adding online vibrotactile (haptic) performance feedback to the visual feedback that is customarily available. There are three research objectives. The first objective seeks to identify the most appropriate measures of surgical performance to provide as supplemental feedback and to determine the frequency of haptic cueing most appropriate for endovascular surgical navigation tasks. The second objective seeks to implement the vibrotactile feedback on the ANGIO Mentor endovascular simulator, and then assess learning on endovascular navigation techniques in two groups of trainees. One group will receive real-time performance-based haptic feedback and the other will serve as the control group. The third objective seeks to model the empirical results and to use the models to determine how to refine the training protocols to optimize skill acquisition. An additional set of human subject experiments will test the optimized feedback scheme. This project will advance the national health, prosperity and welfare making surgical training faster and more consistent, which should improve the success rate of endovascular surgery and improve patient outcomes. The project will also advance the science of skill acquisition more generally by providing data on how surgeons learn. Outreach and mentoring programs will further broaden participation of underrepresented groups in engineering.Previous research has demonstrated that movement smoothness measures computed from surgical tool tip kinematics are strong predictors of surgical expertise. Further, it has been shown that providing real-time haptic feedback based on these metrics can positively influence task completion time and trajectory on a non-surgical task. In this project, the study team will leverage the data collection abilities of a virtual reality surgical simulator platform as a first step towards improving the efficiency and efficacy of surgical training. The plan is to provide endovascular surgical trainees with supplemental real-time, individualized, performance-based feedback. This feedback, based on measures of tool movement smoothness and motor coordination, will be encoded as vibrotactile cues provided to the trainee via a wearable haptic device as they navigate to simulated anatomical targets within the VR simulator. Human subject experiments involving surgical residents will examine the complex learning dynamics that underly human skill acquisition within the context of endovascular surgery. Mathematical models of skill acquisition will be fitted to the experimental data to identify principles guiding the adaptation of real-time supplemental feedback with the aim of improving learning outcomes and training efficiency. The project's findings will advance an understanding of the potential role of supplemental feedback on skill acquisition, which will ultimately advance understanding of relevance to human motor control, endovascular surgery, haptics, dynamical systems modeling, and experimental psychology communities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目的目的是通过将在线颤振（触觉）性能反馈添加到通常可用的视觉反馈中，使基于虚拟现实的模拟器中的内血管内手术训练更快，更一致，更有效。有三个研究目标。第一个目标旨在确定最适当的手术性能度量，以提供补充反馈，并确定触觉提示的频率最适合血管内手术导航任务。第二个目标旨在在血管内血管内模拟器上实施颤盘反馈，然后评估两组受训者的血管内导航技术的学习。 一组将获得基于实时性能的触觉反馈，另一组将作为对照组。 第三个目标旨在对经验结果进行建模，并使用模型来确定如何完善培训方案以优化技能获取。另一组人类主题实验将测试优化的反馈方案。该项目将提高国家健康，繁荣和福利，从而更快，更一致地进行手术训练，这应该提高血管内手术的成功率并改善患者的结局。该项目还将通过提供有关外科医生学习方式的数据来更广泛地推进技能习得的科学。推广和指导计划将进一步扩大代表性不足的群体在工程中的参与。预防研究表明，通过手术工具工具提示运动学计算的运动平滑度措施是手术专业知识的有力预测指标。此外，已经表明，基于这些指标提供实时触觉反馈可以积极影响任务完成时间和非手术任务的轨迹。在这个项目中，研究团队将利用虚拟现实手术模拟器平台的数据收集能力，这是提高手术培训效率和功效的第一步。该计划是为血管内手术学员提供补充实时，个性化的，基于绩效的反馈。根据工具运动平稳性和运动协调的度量，这种反馈将通过可穿戴的触觉设备提供给学员提供的纤维ac式提示，以便它们导航到VR模拟器中的模拟解剖目标。涉及手术居民的人类受试者实验将检查在血管内手术的背景下人类技能恢复的复杂学习动力学。技能获取的数学模型将安装在实验数据中，以确定指导实时补充反馈适应的原则，目的是提高学习成果和培训效率。该项目的调查结果将提高人们对技能获取的补充反馈的潜在作用的理解，这将最终提高对与人类运动控制，血管内手术，触觉，动态系统建模和实验心理学社区相关的了解。该奖项奖反映了NSF的法定任务，并通过评估基金会的智力效果和广泛的影响，并通过评估值得评估。

项目成果

Comparison of Performance Metrics for Real-Time Haptic Feedback in Surgical Skill Training

手术技能训练中实时触觉反馈的性能指标比较

• 发表时间: 2022
• 期刊: 2022 Hamlyn Symposium
• 作者: Johnson, Lianne R;Byrne, Michael D;O'Malley, Marcia K
• 通讯作者: O'Malley, Marcia K

Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics

使用基于运动的性能指标在虚拟模型中评估机器人辅助颈动脉支架置入术

• DOI: 10.1177/15266028221125592
• 发表时间: 2022
• 期刊: Journal of Endovascular Therapy
• 影响因子: 2.6
• 作者: Legeza, Peter T.;Lettenberger, Ahalya B.;Murali, Barathwaj;Johnson, Lianne R.;Berczeli, Marton;Byrne, Michael D.;Britz, Gavin;O’Malley, Marcia K.;Lumsden, Alan B
• 通讯作者: Lumsden, Alan B