A Mechatronic Cardiovascular Simulation System for Jugular Venous Echo-Doppler Training

Author:

Proto Antonino1ORCID,Cavalieri Andrea2,Gadda Giacomo3,Taibi Angelo23ORCID,Astolfi Luca4,Bonfè Marcello5ORCID,Bertagnon Alessandro6ORCID,Nonato Maddalena5,Gavanelli Marco5,Cristofori Giulia5ORCID,D’Antona Andrea5,Farsoni Saverio5

Affiliation:

1. Department of Neuroscience and Rehabilitation, University of Ferrara, 44123 Ferrara, Italy

2. Department of Physics and Earth Sciences, University of Ferrara, 44122 Ferrara, Italy

3. Section of Ferrara, National Institute for Nuclear Physics (INFN), 44122 Ferrara, Italy

4. R&D Laboratory of CRIBO Training Academy, Croce Rossa Italiana, Comitato di Bologna, 40133 Bologna, Italy

5. Department of Engineering, University of Ferrara, 44122 Ferrara, Italy

6. Department of Environmental Science and Prevention, University of Ferrara, 44123 Ferrara, Italy

Abstract

Echo-doppler examination of the jugular vessel is a powerful tool for the early diagnosis of cardiovascular disorders that can be further related to central nervous system diseases. Unfortunately, the ultrasound technique is strongly operator-dependent, so the quality of the scan, the accuracy of the measurement, and therefore the rapidity and robustness of the diagnosis reflect the degree of training. The paper presents the development of a mechatronic simulation system for improving the skill of novice physicians in echo-doppler procedures. The patient is simulated by a silicone manikin whose materials are designed to have a realistic ultrasound response. Two tubes allow blood-mimicking fluid to flow inside the manikin, simulating the hemodynamics of the internal jugular vein. The mechatronic system is designed for controlling the flow waveform, to reproduce several clinical cases of interest for diagnosis. The experiments investigate the accuracy of the echo-doppler measurements performed on the proposed system by novice operators using a real ultrasound scanner.

Funder

INFN

WISE Project

Young Researchers 2018

Project “A Robotic Ultrasound Training System based on the Characterization of the Optimal Probe/Tissue Interaction”

FIRD 2022 funding of the Department of Engineering, University of Ferrara

European Union

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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