Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 6, 2026

Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

MR fluid haptic system for regional anesthesia training simulation system.

Yi-Je Lim1, Pablo Valdivia, Chuyin Chang

  • 1Energid Technologies Corporation, USA.

Studies in Health Technology and Informatics
|April 9, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A multiplexed assay for determination of neurotoxicant effects on spontaneous network activity and viability from microelectrode arrays.

Neurotoxicology·2015
Same author

Multi-well microelectrode array recordings detect neuroactivity of ToxCast compounds.

Neurotoxicology·2014
Same author

An advanced rehabilitation robotic system for augmenting healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2012
Same author

In situ measurement and modeling of biomechanical response of human cadaveric soft tissues for physics-based surgical simulation.

Surgical endoscopy·2008
Same author

Localized virtual patient model for regional anesthesia simulation training system.

Studies in health technology and informatics·2007
Same author

The Surgical Simulation and Training Markup Language (SSTML): an XML-based language for medical simulation.

Studies in health technology and informatics·2006
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

This study introduces a novel haptic feedback system using Magneto-Rheological (MR) fluid for realistic simulation of needle insertion and syringe injection. The system leverages MR fluid

Area of Science:

  • Materials Science
  • Robotics
  • Medical Simulation

Background:

  • Magneto-Rheological (MR) fluids are smart materials with tunable rheological properties under magnetic fields.
  • Accurate haptic feedback is crucial for effective training in medical procedures like regional anesthesia.

Purpose of the Study:

  • To develop and evaluate an innovative haptic feedback device for regional anesthesia simulators.
  • To utilize the controllable yielding strength of MR fluids for simulating forces during needle insertion and injection.

Main Methods:

  • The study employs MR fluid technology to create a haptic feedback system.
  • The system's core mechanism relies on the rapid change in MR fluid properties under an applied magnetic field.
  • This allows for the imposition of simulated forces mimicking real-world medical procedures.

More Related Videos

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Related Experiment Videos

Last Updated: Jul 6, 2026

Visualizing Motion Patterns in Acupuncture Manipulation
08:18

Visualizing Motion Patterns in Acupuncture Manipulation

Published on: July 16, 2016

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Main Results:

  • The developed MR fluid-based haptic system provides accurate force feedback.
  • The system demonstrates rapid response times, characteristic of MR fluid behavior under magnetic fields.
  • The device successfully simulates forces required for needle insertion and syringe injection tasks.

Conclusions:

  • MR fluids offer a viable and effective solution for creating advanced haptic feedback systems.
  • This technology enhances the realism and training efficacy of regional anesthesia simulators.
  • The controllable yielding strength of MR fluids is key to achieving precise force simulation.