机器人触诊系统的研制及触诊操作者负担的评估

Taiga Kitano, Mina Asari, C. Ishii
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摘要

本文在前人研究的基础上,开发了一种装有新型触诊系统的腹腔镜手术机器人,该系统可以在套管针的作用下识别模拟肿瘤的位置。在机器人手术中,在使用套管针进行触诊时,由于钳与套管针的接触会影响到钳的受力或触感难以实现。因此,通过使用先前训练过套管针对钳的影响的神经网络,试图消除套管针对钳的影响。为了验证所开发的触诊系统的有效性,我们进行了纵向和横向触诊的位置识别实验,分别对4种不同肿瘤位置的样本进行了模拟肿瘤的位置识别。结果表明,该神经网络的有效性,对模拟肿瘤的位置识别误差小于1mm。此外,使用开发的触诊系统进行触诊工作时,操作员的身体负担通过以下条件下通过分析过期气体获得的能量消耗的比较来评估;(a)只进行力反馈,(b)只进行触觉反馈,以及(c)同时进行力和触觉反馈。结果表明,在(c)条件下,操作者的物理负担最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Robotic Palpation System and Evaluation of the Burden to an Operator in the Palpation
In this paper, a laparoscopic surgical robot equipped with a new palpation system which can identify the location of an imitation tumor under use of a trocar was developed based on our previous studies. In robotic surgery, when palpation is performed under use of the trocar, it is difficult to realize force or tactile sense of the touched object because the forceps is affected by contact with the trocar. Therefore, cancelation of an influence of the trocar on the forceps was attempted by using the neural network which was previously trained the influence of the trocar on the forceps. In order to verify an effectiveness of the developed palpation system, location identification experiments were carried out for both longitudinal and lateral directions palpation, in which identification of location of the imitation tumor was attempted for 4 kinds of sample with each different tumor location, respectively. The results showed the effectiveness of the neural network, and identification error of location of the imitation tumor was less than 1mm. In addition, the physical burden added to the operator while performing palpation work using the developed palpation system was evaluated by comparison of the energy expenditure obtained through the analysis of expired gas under the following conditions; (a) only force feedback was conducted, (b) only tactile feedback was conducted, and (c) both force and tactile feedbacks were conducted. The result showed that the physical burden to the operator under the condition (c) was smallest.
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