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Related Experiment Video

Updated: Jan 28, 2026

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

Hydrogel Heart Model with Temperature Memory Properties for Surgical Simulation.

Hisataka Maruyama, Yuki Yokota¹, Keisuke Hosono

¹Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan. yokota@biorobotics.mech.nagoya-u.ac.

Sensors (Basel, Switzerland)

|March 7, 2019

Summary

This study introduces a novel hydrogel heart model for surgical training. This innovative cardiac simulator accurately measures temperature, enhancing the evaluation of surgical techniques during catheter ablation procedures.

Keywords:

heart model hydrogel model surgical simulator temperature measurement

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Last Updated: Jan 28, 2026

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

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Published on: July 5, 2024

Simulating Temperature in a Soil Incubation Experiment

Simulating Temperature in a Soil Incubation Experiment

Published on: October 28, 2022

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training

Published on: February 10, 2022

Area of Science:

Biomedical Engineering
Materials Science
Surgical Education

Background:

Surgical simulators require integrated sensing capabilities for effective technique evaluation.
Conventional cardiac training models face challenges in incorporating temperature sensors.
Advancements in surgical technology necessitate improved training tools for surgeons.

Purpose of the Study:

To develop a novel hydrogel-based heart model for surgical training in cardiac catheter ablation.
To integrate temperature-sensing properties into a cardiac simulator for performance assessment.
To overcome limitations of conventional training models in temperature monitoring.

Main Methods:

Fabrication of a heart model using a photo-crosslinkable hydrogel with an irreversible temperature indicator.
Incorporation of a material exhibiting a color change from magenta to colorless at 55 °C.
Evaluation of the hydrogel's thermomechanical and electrical properties, comparing them to human heart tissue.

Main Results:

The hydrogel material demonstrated temperature memory properties with a distinct color change at 55 °C.
Temperature calibration confirmed a high measurement accuracy of ± 0.18 °C at 56 °C.
The fabricated heart model successfully displayed temperature-dependent color changes, validating its sensing capability.

Conclusions:

The developed hydrogel heart model offers a promising solution for temperature sensing in surgical simulators.
This innovative material can enhance the evaluation of surgical techniques in cardiac catheter ablation training.
The temperature-sensitive hydrogel provides a new avenue for creating advanced, instrumented surgical training models.