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 Videos

A Prolog-based centroid algorithm for isovolume extraction from finite element torso simulations.

David J Russomanno1, Kathryn Hicks

  • 1Department of Electrical and Computer Engineering, The University of Memphis, Campus Box 526574, Memphis, TN 38152-6574, USA. d-russomanno@memphis.edu

Computer Methods and Programs in Biomedicine
|January 26, 2002
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

Community health information needs assessment in the mid-south region of the United States indicates new roles for public libraries.

Health information and libraries journal·2024
Same author

The role of biocultural approaches in assessing interventions for maternal weight and gestational weight gain.

American journal of human biology : the official journal of the Human Biology Council·2019
Same author

Secular trends in adult stature among the Makushi of Guyana in the 20th Century.

American journal of human biology : the official journal of the Human Biology Council·2019
Same author

An intervention to reassure patients about test results in rapid access chest pain clinic: a pilot randomised controlled trial.

BMC cardiovascular disorders·2014
Same author

A biocultural perspective on fictive kinship in the Andes: social support and women's immune function in El Alto, Bolivia.

Medical anthropology quarterly·2014
Same author

Evaluation of supervised and unsupervised 3D star visualisation algorithms.

International journal of data mining and bioinformatics·2014
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
See all related articles

This study enhances data extraction from human torso simulations for defibrillator analysis. New methods improve visualization realism and provide deeper insights into defibrillation processes.

Area of Science:

  • Biomedical Engineering
  • Computational Science

Background:

  • Computer modeling and simulation offer non-invasive analysis of implanted defibrillator effects.
  • Current data extraction methods rely on vertex data and user-defined choices, limiting realistic representation.

Purpose of the Study:

  • To improve data extraction and visualization from human torso simulations for implanted defibrillator analysis.
  • To develop a more realistic and conservative method for classifying simulation data subsets.

Main Methods:

  • Utilized a finite element solution to compute electrical quantities in a 3-D torso model.
  • Implemented Prolog software for data extraction and visualization based on declarative constraints.
  • Introduced a novel classification method using tetrahedral centroids and distance-based electrical property assignment.

Related Experiment Videos

Main Results:

  • The enhanced method assigns electrical properties to centroids based on geometric relationships within tetrahedral elements.
  • This approach is expected to yield more realistic and conservative data subsets compared to previous vertex-based methods.
  • Improved data representation is anticipated to offer greater insight into defibrillation mechanisms.

Conclusions:

  • The revised data extraction technique enhances the fidelity of human torso simulations for defibrillator research.
  • This advancement facilitates more accurate visualization and deeper understanding of defibrillation dynamics.
  • The study contributes to improved computational tools for medical device simulation and analysis.