机器人辅助气管插管系统实现精准深度感知与实时导航,提升操作安全性。
Bab_Sak Robotic Intubation System (BRIS): A Learning-Enabled Control Framework for Safe Fiberoptic Endotracheal Intubation
- 基于学习的闭环控制,通过形状传感实现直观远程操作。
- 利用单目内镜深度估计,实时判断导管位置与气管分叉距离。
- 兼容临床流程,适用于标准及困难气道,提升插管一致性。
气管插管是关键但技术要求高的操作,失败或导管位置不当可导致严重并发症。现有机器人及遥操作插管系统主要关注气道导航,未集成导管推进控制或客观验证导管深度相对于气管分叉的位置。本文提出机器人插管系统(BRIS),一个紧凑、人机协同的平台,用于辅助纤维支气管镜引导插管,并实现导管深度的实时、客观感知。BRIS整合了四向可调光纤支气管镜、独立导管推进机构,以及兼容标准临床流程的摄像头增强口具。其学习启用的闭环控制框架利用实时形状传感,将操纵杆输入映射为支气管镜远端在笛卡尔空间的运动,克服肌腱非线性与气道接触带来的干扰,实现稳定直观的遥操作。采用单目内镜深度估计对气道区域进行分类,提供可解释、解剖感知的导管定位引导。系统在高保真气道模拟器上,针对标准与困难气道配置进行了验证,展示了可靠的导航与可控的导管置入效果。结果表明,BRIS是迈向更安全、更一致且临床兼容的机器人气道管理的重要一步。
原文摘要 · Abstract (English)
Endotracheal intubation is a critical yet technically demanding procedure, with failure or improper tube placement leading to severe complications. Existing robotic and teleoperated intubation systems primarily focus on airway navigation and do not provide integrated control of endotracheal tube advancement or objective verification of tube depth relative to the carina. This paper presents the Robotic Intubation System (BRIS), a compact, human-in-the-loop platform designed to assist fiberoptic-guided intubation while enabling real-time, objective depth awareness. BRIS integrates a four-way steerable fiberoptic bronchoscope, an independent endotracheal tube advancement mechanism, and a camera-augmented mouthpiece compatible with standard clinical workflows. A learning-enabled closed-loop control framework leverages real-time shape sensing to map joystick inputs to distal bronchoscope tip motion in Cartesian space, providing stable and intuitive teleoperation under tendon nonlinearities and airway contact. Monocular endoscopic depth estimation is used to classify airway regions and provide interpretable, anatomy-aware guidance for safe tube positioning relative to the carina. The system is validated on high-fidelity airway mannequins under standard and difficult airway configurations, demonstrating reliable navigation and controlled tube placement. These results highlight BRIS as a step toward safer, more consistent, and clinically compatible robotic airway management.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。