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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Transformer-based models in dentistry: a systematic review.

BMC medical informatics and decision making·2026
Same author

Genome-wide characterisation of the myosin light chain gene family in Chinese perch (Siniperca chuatsi) and its expression patterns in muscle fibre types and injury response.

Comparative biochemistry and physiology. Part D, Genomics & proteomics·2026
Same author

Rapid detection of raw meat freshness using deep learning and colorimetric/fluorescent array.

Food chemistry·2026
Same author

Andrographolide Suppresses Head and Neck Squamous Cell Carcinoma Progression via EGR1-ACSL4 Axis-Mediated Ferroptosis.

The American journal of Chinese medicine·2026
Same author

Pressure Modulation of Fluidic Patterns Inside the Nanochannel for Two States of Ionic Conductance.

Micromachines·2026
Same author

Denoising Respiratory Sinus Arrhythmia of Pulse-to-Pulse Interval Signals Extracted from Photoplethysmogram with an Autoregressive Moving Average Model.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jun 26, 2026

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

A computer simulation of clinical Electrophysiological Study.

Xin Zhu1, Daming Wei

  • 1Biomedical Information Technology Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan. zhuxin@u-aizu.ac.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

This study simulates cardiac electrophysiological studies (EPS) using a whole-heart model. The simulation accurately reproduced standard pacing protocols and outcomes, advancing electrocardiology simulations.

More Related Videos

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
09:00

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Related Experiment Videos

Last Updated: Jun 26, 2026

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex
09:00

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Area of Science:

  • Computational Biology
  • Cardiac Electrophysiology
  • Medical Simulation

Background:

  • Clinical electrophysiological studies (EPS) are crucial for diagnosing cardiac arrhythmias.
  • Current EPS methods rely on invasive catheter-based measurements.
  • Whole-heart modeling offers a potential non-invasive simulation approach.

Purpose of the Study:

  • To develop and validate a computer simulation of standard clinical electrophysiological studies (EPS).
  • To assess the capability of a whole-heart model to replicate EPS pacing protocols and outcomes.
  • To demonstrate the utility of computational modeling in understanding cardiac electrocardiology.

Main Methods:

  • A detailed whole-heart model was developed.
  • Standard EPS pacing protocols (atrial/ventricular extrastimulation, incremental pacing) were implemented in the model.
  • The simulation computed cardiac excitation, propagation, and intracardiac electrograms.

Main Results:

  • The heart model successfully reproduced standard EPS tests.
  • Simulation results included determination of refractory periods and induction/termination of supraventricular tachycardias.
  • The model accurately localized accessory pathways in a simulated Wolff-Parkinson-White (WPW) syndrome type A case.

Conclusions:

  • Computer simulation of EPS using a whole-heart model is feasible and accurate.
  • This approach represents a significant advancement in computational electrocardiology.
  • Whole-heart modeling can aid in understanding and diagnosing cardiac electrophysiological conditions.