Dual Robot Collaborative System for Autonomous Venous Access Based on Ultrasound and Bioimpedance Sensing Technology
Maria Koskinopoulou, Alperen Acemoglu, Veronica Penza, Leonardo S. Mattos
Abstract
Accurate needle insertion is an important task in many medical procedures. This paper studies the case of an autonomous needle insertion system for central venous access, which is a risky and challenging procedure involving the simultaneous manipulation of an ultrasound probe and of a catheterization needle. The goal of this medical operation is to provide access to a deep central vein, which is a key step in cardiovascular treatments or for the administration of drugs and treatments for cancer or infections. Accordingly, in this work we propose an autonomous dual-arm system for central venous access. The system is composed of two Franka robotic arms that are precisely co-registered and collaborate to achieve accurate needle insertion by combining ultrasound and bioimpedance sensing to ensure robust deep vessels visualization and venipuncture detection. The proposed system performance is evaluated on a phantom trainer through experiments simulating the jugular vein access for cardiac catheterization purposes. Quantitative results show the system is able to autonomously scan the area of interest, localize the vein and perform autonomous needle insertion with high accuracy and placement error below 1.7mm, proving the potential of the technology for real clinical use.
BibTeX
@inproceedings{icra2023_dualrobotcollabo,
title = {Dual Robot Collaborative System for Autonomous Venous Access Based on Ultrasound and Bioimpedance Sensing Technology},
author = {Maria Koskinopoulou and Alperen Acemoglu and Veronica Penza and Leonardo S. Mattos},
booktitle = {ICRA 2023},
year = {2023}
}