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Characterization of Anastomosis Techniques for Robot Assisted Surgery

机译:机器人辅助手术吻合技术的表征

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A connection between two vessels or other tubular structures is known as anastomosis, one of the most common procedures in its field but, at the same time, one of the most complex suture-based techniques. This procedure requires not only a lot of skill and dexterity but also a lot of attention and plenty of concentration from the surgeon. This makes many of the actions to be performed irregularly, exposing the patient to human error resulting from the monotony. On the other hand, the field of robotics has earned itself a place in medicine, especially as assistants during a surgical intervention. Even so, medical robotics is quite young and still has not done much in the field of vessel anastomosis. Therefore, this paper presents a preliminary study of the most common suturing techniques, taking into account their typology and performance, within all the possible anastomosis procedures known. Subsequently, a detailed study of workflow and actions during an anastomosis is made, obtaining a diagram for each of the suturing techniques studied. This allows analyzing all procedures and to create a tool to find those actions and repeated tasks and/or common in all of them, indicating which of these are potential candidates for an automation study. This preliminary work focuses on finding where robotics can help to avoid rutinary tasks, which can be learned in a mechanical level and therefore, relatively easy to be automated using a robotic system or to assist the surgeon in certain tasks that need a lot of skill and attention.
机译:两个血管或其他管状结构之间的连接被称为吻合术,其领域中最常见的程序之一,但同时是最复杂的基于缝合线的技术之一。这一程序不仅需要大量的技能和灵巧,而且还需要注意力和从外科医生的浓度。这使得许多行动是不规则的,使患者暴露于单调引起的人为错误。另一方面,机器人领域已经在医学中获得了一个地方,特别是在手术干预期间的助手。即便如此,医疗机器人也很年轻,仍然在血管吻合术领域仍然没有多大。因此,本文提出了对最常见的缝合技术的初步研究,考虑到他们的类型和性能,在所有可能的吻合程序中都知道。随后,对吻合期间的工作流程和动作进行详细研究,获得研究所研究的每个缝合技术的图。这允许分析所有程序并创建一个工具,以便在所有过程中找到这些动作和重复任务和/或常见,表明其中哪一个是自动化研究的潜在候选者。这项初步工作侧重于找到机器人学有助于避免Rutinary任务的地方,可以在机械水平中学到,因此使用机器人系统的自动化或协助外科医生在需要大量技能的某些任务中进行自动化注意力。

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