Automated Robotic Needle Puncture for Percutaneous Dilatational Tracheostomy
Yuan Tang, Bruno V. Adorno, Brendan A. McGrath, Andrew Weightman

TL;DR
This paper introduces an automated robotic system for needle puncture in PDT, significantly improving accuracy and safety over manual methods through sensor-guided control and adaptive collision avoidance.
Contribution
The study presents a novel robotic system with adaptive control for automated PDT needle puncture, reducing errors and enhancing safety compared to manual procedures.
Findings
Median position error of 1.7 mm in punctures
Midline deviation of 4.13 degrees
Feasibility demonstrated through simulations and mannequin tests
Abstract
Percutaneous dilatational tracheostomy (PDT) is frequently performed on patients in intensive care units for prolonged mechanical ventilation. The needle puncture, as the most critical step of PDT, could lead to adverse consequences such as major bleeding and posterior tracheal wall perforation if performed inaccurately. Current practices of PDT puncture are all performed manually with no navigation assistance, which leads to large position and angular errors (5 mm and 30 degree). To improve the accuracy and reduce the difficulty of the PDT procedure, we propose a system that automates the needle insertion using a velocity-controlled robotic manipulator. Guided using pose data from two electromagnetic sensors, one at the needle tip and the other inside the trachea, the robotic system uses an adaptive constrained controller to adapt the uncertain kinematic parameters online and avoid…
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Taxonomy
TopicsSoft Robotics and Applications · Tracheal and airway disorders · Mechanical Circulatory Support Devices
