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用于新冠疫情期间安全远程诊断的触觉机器人远程医疗:系统设计、可行性与可用性研究

Tactile Robotic Telemedicine for Safe Remote Diagnostics in Times of Corona: System Design, Feasibility and Usability Study.

作者信息

Naceri Abdeldjallil, Elsner Jean, Trobinger Mario, Sadeghian Hamid, Johannsmeier Lars, Voigt Florian, Chen Xiao, Macari Daniela, Jahne Christoph, Berlet Maximilian, Fuchtmann Jonas, Figueredo Luis, Feusner Hubertus, Wilhelm Dirk, Haddadin Sami

机构信息

Munich Institute of Robotics and Machine Intelligence, Technical University of Munich 80992 Munich Germany.

University of Isfahan 8174673441 Isfahan Iran.

出版信息

IEEE Robot Autom Lett. 2022 Jul 18;7(4):10296-10303. doi: 10.1109/LRA.2022.3191563. eCollection 2022 Oct.

Abstract

The current crisis surrounding the COVID-19 pandemic demonstrates the amount of responsibility and the workload on our healthcare system and, above all, on the medical staff around the world. In this work, we propose a promising approach to overcome this problem using robot-assisted telediagnostics, which allows medical experts to examine patients from distance. The designed telediagnostic system consists of two robotic arms. Each robot is located at the doctor and patient sites. Such a system enables the doctor to have a direct conversation via telepresence and to examine patients through robot-assisted inspection (guided tactile and audiovisual contact). The proposed bilateral teleoperation system is redundant in terms of teleoperation control algorithms and visual feedback. Specifically, we implemented two main control modes: joint-based and displacement-based teleoperation. The joint-based mode was implemented due to its high transparency and ease of mapping between and whereas the displacement-based is highly flexible in terms of relative pose mapping and null-space control. Tracking tests between and were conducted on our system using both wired and wireless connections. Moreover, our system was tested by seven medical doctors in two experiments. User studies demonstrated the system's usability and it was successfully validated by the medical experts.

摘要

当前围绕新冠疫情的危机凸显了我们医疗系统,尤其是全球医护人员所肩负的责任之重和工作量之大。在这项工作中,我们提出了一种很有前景的方法来解决这个问题,即使用机器人辅助远程诊断,这使医学专家能够远程检查患者。所设计的远程诊断系统由两个机器人手臂组成。每个机器人分别位于医生和患者所在地。这样的系统使医生能够通过远程临场感进行直接对话,并通过机器人辅助检查(引导式触觉和视听接触)来检查患者。所提出的双边遥操作系统在遥操作控制算法和视觉反馈方面具有冗余性。具体来说,我们实现了两种主要控制模式:基于关节的遥操作和基于位移的遥操作。之所以实现基于关节的模式,是因为它具有高透明度以及在[具体内容缺失]之间易于映射的特点,而基于位移的模式在相对位姿映射和零空间控制方面具有高度灵活性。我们的系统使用有线和无线连接进行了[具体内容缺失]之间的跟踪测试。此外,我们的系统在两项实验中由七名医生进行了测试。用户研究证明了该系统的可用性,并且它成功地得到了医学专家的验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adf3/9454265/cb7d7af5e6ae/nacer1-3191563.jpg

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