分析机器人辅助血管内导管插入术中外科医生与机器人的合作表现

IF 3.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Wenjing Du;Guanlin Yi;Olatunji Mumini Omisore;Wenke Duan;Toluwanimi Oluwadra Akinyemi;Xingyu Chen;Jiang Liu;Boon-Giin Lee;Lei Wang
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引用次数: 0

摘要

机器人辅助导管术为心血管介入治疗提供了一种前景广阔的技术,解决了人工介入手术的局限性,因为人工介入手术对工具的精确操作至关重要。在遥控机器人系统中,缺乏力反馈和不精确的导航对外科医生和机器人之间的合作提出了挑战。本研究提出了一个基于操作的评估框架,利用来自多传感器技术的动觉、运动学和触觉数据来评估不同操作员与机器人之间的合作表现。在评估操作员与机器人之间的合作时,所提出的评估框架达到了 99.99% 的识别准确率。此外,研究还探讨了无延迟、恒定延迟和可变延迟等延迟因素对合作特征的影响。研究结果表明,与恒定延迟因素相比,可变延迟有助于提高操作员与机器人在一二级同构机器人系统中的合作性能。此外,具有人工经皮冠状动脉介入治疗经验的操作员与机器人系统的合作操作表现明显优于没有此类经验的操作员,根据延迟的三个方面考虑,协同比率分别为 89.66%、90.28% 和 91.12%。此外,研究还探讨了交互信息,包括工具-组织的远端力和手-控制环的接触力,以了解不同技术技能的操作员如何调整其控制策略,在确保有足够张力在复杂路径上导航的同时,防止过大的力对血管造成损伤。研究结果凸显了可变延迟在增强机器人导管系统合作控制策略方面的潜力,为优化心血管介入手术中外科医生与机器人的合作提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Surgeon–Robot Cooperative Performance in Robot-Assisted Intravascular Catheterization
Robot-assisted catheterization offers a promising technique for cardiovascular interventions, addressing the limitations of manual interventional surgery, where precise tool manipulation is critical. In remote-control robotic systems, the lack of force feedback and imprecise navigation challenge cooperation between the surgeon and robot. This study proposes a manipulation-based evaluation framework to assess the cooperative performance between different operators and robot using kinesthetic, kinematic, and haptic data from multi-sensor technologies. The proposed evaluation framework achieves a recognition accuracy of 99.99% in assessing the cooperation between operator and robot. Additionally, the study investigates the impact of delay factors, considering no delay, constant delay, and variable delay, on cooperation characteristics. The findings suggest that variable delay contributes to improved cooperation performance between operator and robot in a primary-secondary isomorphic robotic system, compared to a constant delay factor. Furthermore, operators with experience in manual percutaneous coronary interventions exhibit significantly better cooperative manipulate on with the robot system than those without such experience, with respective synergy ratios of 89.66%, 90.28%, and 91.12% based on the three aspects of delay consideration. Moreover, the study explores interaction information, including distal force of tools-tissue and contact force of hand-control-ring, to understand how operators with different technical skills adjust their control strategy to prevent damage to the vascular vessel caused by excessive force while ensuring enough tension to navigate complex paths. The findings highlight the potential of variable delay to enhance cooperative control strategies in robotic catheterization systems, providing a basis for optimizing surgeon-robot collaboration in cardiovascular interventions.
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来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
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