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机器人内窥镜控制 - 语音控制和其他腹腔镜摄像机器人引导选项的最新技术。

Robotic Endoscope Control - State of the Art of Voice Control and Other Options for Laparoscopic Camera Robot Guidance.

机构信息

Surgical Department, Klinikum rechts der Isar, Technical University of Munich.

MITI Research Group, Klinikum rechts der Isar, Technical University of Munich.

出版信息

Surg Technol Int. 2022 May 19;40:17-24. doi: 10.52198/22.STI.40.SO1545.

DOI:10.52198/22.STI.40.SO1545
PMID:35546494
Abstract

In video-based surgery (VBS), the surgeon is no longer the master of his or her view. Visualization of the surgical field is mediated by a video camera guided by an assistant. The separation of visualization and surgical activities leads to significant drawbacks. Early in the history of VBS, active camera holders controlled directly by the surgeon were introduced to replace the human camera assistant. However, despite remarkable technological advances over the past 25 years, robotic camera guidance systems (RCGS) still play only a marginal role. This is less due to inadequate mechanical designs or kinematics, and mainly due to inadequate human-machine interaction. In most cases, a simple task-shift is required that increases the surgeon's mental workload instead of reducing it. The current state of the art in robotic camera guidance, as represented by the SOLOASSIST II RCGS (AKTORmed, Neutraubling, Germany), includes a sophisticated combination of direct manual control, joystick navigation and high-quality voice control that provides the most intuitive surgeon-machine interaction currently available. An in-depth analysis of further clinical needs and promising developments in operating room integration suggests that the addition of context sensitivity could actually enhance the assistive effect of RCGS, making them potentially superior to the average human camera guidance.

摘要

在基于视频的手术 (VBS) 中,外科医生不再是其视野的主宰者。手术视野的可视化由摄像机通过助手进行引导。可视化和手术活动的分离导致了明显的缺陷。在 VBS 的早期历史中,引入了由外科医生直接控制的主动摄像机持有者,以取代人类摄像机助手。然而,尽管在过去 25 年中取得了显著的技术进步,但机器人摄像引导系统 (RCGS) 的应用仍然只占很小的比例。这并不是由于机械设计或运动学的不足,主要是由于人机交互的不足。在大多数情况下,需要进行简单的任务转换,这会增加外科医生的心理工作量,而不是减轻。目前的机器人摄像引导技术(以 SOLOASSIST II RCGS 为代表,AKTORmed,Neutraubling,德国)包括直接手动控制、操纵杆导航和高质量语音控制的复杂组合,提供了目前可用的最直观的外科医生与机器交互方式。对进一步的临床需求和手术室集成方面的有前景的发展进行深入分析后表明,添加上下文敏感性实际上可以增强 RCGS 的辅助效果,使它们有可能优于普通的人类摄像引导。

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