Design and Hysteresis Compensation of a Telerobotic System for Transesophageal Echocardiography
Xiu Zhang, Izadyar Tamadon, Benjamín Ignacio Fortuño Jara, Vanessa Cannizzaro, Angela Peloso, Anna Bicchi, Andrea Aliverti, Emiliano Votta
Abstract
Transesophageal echocardiogram (TEE) plays an important role in diagnosing cardiac conditions such as valvular diseases and cardiac embolism, as well as guiding various cardiac interventions. It provides detailed cardiac imaging by inserting a probe into the esophagus, which offers an unobstructed view of the heart's chambers and valves. Addressing the operational challenges and health risks of the sonographer associated with the manual procedure, a novel robotic TEE system is developed to teleoperate the TEE probe across all four degrees of freedom (4-DoFs). This actuation device features an easily assembled design for post-operative cleaning and sanitization. Moreover, this system enhances the precision of tip bending angles through an optimization technique for offline calibration of the actuation plane. The hysteresis effect inherent in the tendon-driven mechanism is characterized and compensated using a free knots B-spline method and a look-up table. Experiments are conducted in a realistic human cardiovascular phantom for preclinical evaluation. Repeatability experiments validate the system's robustness. Furthermore, compared with the piecewise linear model, the proposed method achieves high accuracy with a median bending angle error of less than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbf {0.8^\circ }$</tex-math></inline-formula>. The results demonstrate the system's potential to significantly improve the autonomy of TEE procedures in cardiac diagnostic and therapeutic procedures.
BibTeX
@inproceedings{ral2025_designandhystere,
title = {Design and Hysteresis Compensation of a Telerobotic System for Transesophageal Echocardiography},
author = {Xiu Zhang and Izadyar Tamadon and Benjamín Ignacio Fortuño Jara and Vanessa Cannizzaro and Angela Peloso and Anna Bicchi and Andrea Aliverti and Emiliano Votta and Arianna Menciassi and Elena De Momi},
booktitle = {RA-L 2025},
year = {2025}
}