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Artery cross-clamping during laparoscopic vascular surgeries; A computational tactile sensing approach

机译:腹腔镜血管手术中的动脉交叉钳夹;一种计算触觉传感方法

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摘要

Artificial palpation is one of the most valuable achievements of artificial tactile sensing approach that can be used in various fields of medicine and more specifically in surgery. These techniques cause different surgical maneuvers to be done more precisely and noninvasively. In this study, considering the present problems and limitations of cross-clamping an artery during laparoscopic vascular surgeries, a new tactile sensory system will be introduced. Having imitated surgeon's palpation during open vascular surgeries and modeled it conceptually, the optimal amount of the total angular displacement of each robot joint in order to cross-clamping an artery without damaging to the artery surrounding tissues will be calculated. The elastic governing equation of contact occurred between the tactile sensor placed on the first link of the robot and the surrounding tissues around the artery were developed. A finite element model is coupled with genetic algorithm optimization method so that the normal stress and displacements in contact surface of the robot and artery's surrounding tissues would be minimized. Thus, reliability and accuracy of artificial tactile sensing method in artery cross-clamping will be demonstrated. Finally, the functional principles of the new tactile system capable of cross-clamping an artery during laparoscopic surgeries will be presented.
机译:人工触诊是人工触觉传感方法最有价值的成就之一,可用于医学的各个领域,尤其是外科手术。这些技术使不同的外科手术操作更加精确且无创。在这项研究中,考虑到当前在腹腔镜血管外科手术中交叉夹住动脉的问题和局限性,将引入一种新的触觉感觉系统。在开放血管外科手术中模仿外科医生的触诊并对其进行概念建模后,将计算出每个机器人关节的总角位移的最佳量,以便在不损伤动脉周围组织的情况下交叉夹紧动脉。建立了放置在机器人第一连杆上的触觉传感器与动脉周围周围组织之间的弹性接触方程。有限元模型与遗传算法优化方法相结合,以使机器人和动脉周围组织的接触表面的法向应力和位移最小。因此,将证明人工触觉传感方法在动脉交叉夹紧中的可靠性和准确性。最后,将介绍能够在腹腔镜手术期间交叉夹紧动脉的新型触觉系统的功能原理。

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