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author:

Deng, Z. (Deng, Z..) [1] | Zhang, S. (Zhang, S..) [2] | Guo, Y. (Guo, Y..) [3] | Jiang, H. (Jiang, H..) [4] | Zheng, X. (Zheng, X..) [5] | He, B. (He, B..) [6]

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Scopus

Abstract:

Endoscopic operation is one of the most difficult parts of nasotracheal intubation (NTI), a surgical procedure used to secure the airway of a patient. Due to the requirement of eye–hand coordination, manual operation of a flexible endoscope is challenging, even for an experienced surgeon. To enhance intubation efficiency, this paper developed a master–slave robotic nasotracheal intubation system (RNIS) for endoscopic operation. Movements in three degrees of freedom of the endoscope are controlled by the RNIS. An assisted teleoperation control strategy is designed to assist the operator in remotely controlling the pose, i.e., position and orientation, of the endoscope tip via a joystick. To ensure the efficiency of intubation, visual feedback assistance is hereby proposed, which fine-tunes the orientation of the endoscope tip as needed. The proposed system and methods are experimentally validated on a motion simulator and a phantom. The results demonstrated that the master–slave RNIS can successfully insert the flexible endoscope into the trachea of a phantom through the nasal cavity. © 2023 Elsevier B.V.

Keyword:

Nasotracheal intubation Robotic endoscope Surgical robotics Teleoperation control Visual feedback assistance

Community:

  • [ 1 ] [Deng Z.]Department of Anesthesiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350108, China
  • [ 2 ] [Deng Z.]Department of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Zhang S.]Department of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Guo Y.]Department of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Jiang H.]Department of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Zheng X.]Department of Anesthesiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350108, China
  • [ 7 ] [Zheng X.]Fujian Emergency Medical Center, Fujian Provincial Key Laboratory of Emergency Medicine, Fujian Provincial Key Laboratory of Critical Medicine, Fujian Provincial Co-constructed Laboratory of “Belt and Road”, Fuzhou, 350108, China
  • [ 8 ] [He B.]Department of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

Robotics and Autonomous Systems

ISSN: 0921-8890

Year: 2024

Volume: 172

4 . 3 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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