title: Objective skill analysis and assessment in neurosurgery by using an ultra-miniaturized inertial measurement unit WB-3--pilot tests.
abstract: 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.
authors: Advanced Research Institute for Science and Engineering, Waseda University, Tokyo, Japan 169-8555. zhuohualin@takanishi.mech.waseda.ac.jp
authors: Z
authors: Z
authors: Lin
authors: M
authors: M
authors: Zecca
authors: S
authors: S
authors: Sessa
authors: T
authors: T
authors: Sasaki
authors: T
authors: T
authors: Suzuki
authors: K
authors: K
authors: Itoh
authors: H
authors: H
authors: Iseki
authors: A
authors: A
authors: Takanishi
mesh_terms: D000328:Adult; D001331:Automation; D001698:Biomedical Engineering / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D010535:Laparoscopy / Q000379:methods*; D008280:Magnetics / Q000295:instrumentation; D008297:Male; D009493:Neurosurgery / Q000193:education / Q000295:instrumentation* / Q000379:methods*; D010820:Physicians; D012371:Robotics; D013663:Teaching / Q000379:methods; D014584:User-Computer Interface