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User-Interaction of a Semiautomatic Trepanation System

机译:半自动对接系统的用户交互

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During trepanation, a neurosurgical procedure for opening the skull, the protection of the underlying dura mater and a minimized loss of bone are major concerns. A concept for a novel trepanation system has been developed in order to open the skull less invasively and more safely. This trepanation system is based on a soft tissue preserving cutting tool and an autonomous control of the cutting depth.In this approach a semiautomatic instrument is envisioned, that is manually maneuvered by the surgeon. The cutting depth is adapted automatically by the control system corresponding to the actual thickness of the skull bone. This syner-gistic control concept combines the computer-related accuracy with the surgeon's know-how and cognitive capabilities.During the complex user interaction between surgeon and trepanation system a high level of safety has to be assured due to the potential risk related to neurosurgical procedures. Therefore we have introduced a usability engineering process based on an initial risk analysis and a model-based usability evaluation tool (mAIXuse) for further analysis of the process, particularly considering the human-machine-interaction. Furthermore a specific safety strategy has been developed.The conducted investigations enable the developers to identify and understand each single process step, in which misinformation or non-specific commands may be given. By using these methods comprehensive safety requirements concerning the user-interface for a semiautomatic neurosurgical device have been identified. The proposed concept will be evaluated in further usability tests with real prototypes.
机译:在进行栓塞手术时,主要需要关注的是用于颅骨张开的神经外科手术,对硬脑膜下层的保护以及对骨质损失的最小化。为了减少颅骨的侵入和更安全地打开颅骨,已经开发出一种新颖的对剑系统的概念。该套料系统基于保留软组织的切割工具以及对切割深度的自主控制。 在这种方法中,设想了一种半自动仪器,该仪器由外科医生手动操纵。切割深度由控制系统根据头骨的实际厚度自动调整。这种协同控制概念将计算机相关的准确性与外科医生的专有技术和认知能力结合在一起。 在外科医生与瓣膜系统之间复杂的用户交互过程中,由于与神经外科手术相关的潜在风险,必须确保高度的安全性。因此,我们引入了基于初始风险分析和基于模型的可用性评估工具(mAIXuse)的可用性工程流程,用于对该流程的进一步分析,尤其是考虑到人机交互的情况。此外,已经制定了具体的安全策略。 进行的调查使开发人员能够识别和理解每个过程步骤,其中可能会给出错误信息或非特定命令。通过使用这些方法,已经确定了与半自动神经外科设备的用户界面有关的全面安全要求。所提出的概念将在带有真实原型的进一步可用性测试中进行评估。

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