D'Ambrosia Christopher, Aronoff-Spencer Eliah, Huang Estella Y, Goldhaber Nicole H, Christensen Henrik I, Broderick Ryan C, Appelbaum Lawrence G
College of Physicians and Surgeons, Columbia University, New York, NY, United States.
Cognitive Robotics Laboratory, Department of Computer Science and Engineering, Contextual Robotics Institute, University of California, San Diego, La Jolla, CA, United States.
Front Neuroergon. 2023 Jan 9;3:1052411. doi: 10.3389/fnrgo.2022.1052411. eCollection 2022.
Surgeons operate in mentally and physically demanding workspaces where the impact of error is highly consequential. Accurately characterizing the neurophysiology of surgeons during intraoperative error will help guide more accurate performance assessment and precision training for surgeons and other teleoperators. To better understand the neurophysiology of intraoperative error, we build and deploy a system for intraoperative error detection and electroencephalography (EEG) signal synchronization during robot-assisted surgery (RAS). We then examine the association between EEG data and detected errors. Our results suggest that there are significant EEG changes during intraoperative error that are detectable irrespective of surgical experience level.
外科医生在对心智和体能要求极高的工作空间中进行手术，失误的影响极其严重。准确描述外科医生在术中出现失误时的神经生理学特征，将有助于为外科医生和其他远程操作者提供更准确的绩效评估和精准培训。为了更好地理解术中失误的神经生理学，我们构建并部署了一个用于机器人辅助手术（RAS）期间术中失误检测和脑电图（EEG）信号同步的系统。然后，我们研究了EEG数据与检测到的失误之间的关联。我们的结果表明，术中出现失误时EEG会发生显著变化，且无论手术经验水平如何均可检测到。
