Lin Z, Zecca M, Sessa S, Sasaki T, Suzuki T, Itoh K, Iseki H, Takanishi A
Advanced Research Institute for Science and Engineering, Waseda University, Tokyo, Japan 169-8555.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2320-3. doi: 10.1109/IEMBS.2009.5335116.
In recent years there has been an ever increasing amount of research and development of technologies and methods to improve the quality and the performance of advanced surgery. In several fields, such as laparoscopy, various training methods and metrics have been proposed, both to improve the surgeon's abilities and also to assess her/his skills. For neurosurgery, however, the extremely small movements and target operating space involved have prevented until now the development of similar methodologies and systems. In this paper we present the development of an ultra-miniaturized Inertial Measurement Unit (IMU) and its application for neurosurgery skill assessment in a simple pick and place scenario. This analysis is a preliminary yet fundamental step to realize a better training/evaluation system for neurosurgeons, and to objectively evaluate and understand how the neurosurgery is performed.
近年来，为提高先进手术的质量和性能，技术和方法的研发数量一直在不断增加。在腹腔镜手术等多个领域，已经提出了各种训练方法和指标，以提高外科医生的能力并评估其技能。然而，对于神经外科手术而言，所涉及的极其微小的动作和目标操作空间迄今为止阻碍了类似方法和系统的发展。在本文中，我们展示了一种超小型惯性测量单元（IMU）的研发及其在简单的拾取和放置场景中用于神经外科手术技能评估的应用。这种分析是实现更好的神经外科医生训练/评估系统以及客观评估和理解神经外科手术如何进行的初步但基础的步骤。
