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

Parameter estimation in cardiac ionic models.

Socrates Dokos1, Nigel H Lovell

  • 1Graduate School of Biomedical Engineering, University of New South Wales, Sydney 2052, NSW, Australia. s.dokos@unsw.edu.au

Progress in Biophysics and Molecular Biology
|May 15, 2004
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

Interpretable graph-based models on multimodal biomedical data integration: a technical review and benchmarking.

Nature communications·2026
Same author

Wearable, broadband auscultation patch with cantilever pressure transducer for remote healthcare monitoring.

Nature communications·2026
Same author

Establishment of High Channel-Count Packaging in Active Implantable Medical Devices for Neuroprosthesis.

Journal of biomedical materials research. Part B, Applied biomaterials·2026
Same author

Computational modeling for precision targeting of conductivity-clamped gene electrotransfer within the striatum of the human brain.

Journal of neural engineering·2026
Same author

Comprehensive evaluation of ACMG/AMP-based variant classification tools.

Bioinformatics (Oxford, England)·2026
Same author

Mechanistic Interpretation of Beat-to-Beat Cardiovascular Variability in Hypertension Using a Closed-Loop Cardiovascular Model.

International journal for numerical methods in biomedical engineering·2026
Same journal

Biological functions of BAF57, its role in disease pathogenesis, and treatment: From molecular mechanisms to clinical translation.

Progress in biophysics and molecular biology·2026
Same journal

Photonics-integrated and AI-enhanced medical sensing: From molecular diagnostics to real-time cell therapy monitoring.

Progress in biophysics and molecular biology·2026
Same journal

Uncovering the Biological Mechanisms of TREM2 with Molecular Simulations: A Comprehensive Review and Perspective.

Progress in biophysics and molecular biology·2026
Same journal

Advances in artificial joint testing driven by in situ mechanical characterization: From permeability of porous structures to dynamic wear monitoring.

Progress in biophysics and molecular biology·2026
Same journal

Proteostasis-driven redox adaptation in ferroptosis: the p62-Keap1-Nrf2 axis.

Progress in biophysics and molecular biology·2026
Same journal

NLRs and STANDs: a class of enthalpy and entropy dual-driven allosteric switches varying information entropies.

Progress in biophysics and molecular biology·2026
See all related articles

Accurate reconstruction of cardiac cell ionic currents is possible using parameter estimation with the Beeler-Reuter model. Perturbing action potential recordings with pseudo-random currents aids in identifying model parameters.

Area of Science:

  • Computational biology
  • Biophysics
  • Cardiac electrophysiology

Background:

  • Mathematical models of cardiac electrical activity are crucial for understanding excitable cells.
  • The Beeler-Reuter model is a standard for ventricular action potential simulation.
  • Parameter estimation is challenging due to the complexity of ionic current kinetics.

Purpose of the Study:

  • To investigate parameter estimation for the Beeler-Reuter model.
  • To determine if ionic currents can be reconstructed from action potential data.
  • To assess the impact of experimental design on parameter identifiability.

Main Methods:

  • Utilized the Beeler-Reuter (1977) model with 63 parameters.
  • Employed a 'data-clamp' protocol fitting total membrane current to experimental data.

Related Experiment Videos

  • Used action potential recordings perturbed by pseudo-random injection currents.
  • Assessed local parameter identifiability using the reciprocal condition value (1/lambda) of the Hessian.

    • Main Results:

    • Fitting to a single action potential resulted in an over-determined model (1/lambda ≈ 3.6e-14).
    • Including 2 perturbed waveforms slightly improved identifiability (1/lambda ≈ 1.4e-10).
    • Additional perturbed data enabled accurate reconstruction of all ionic currents.

    Conclusions:

    • Parameter estimation can reconstruct ionic current kinetics and amplitudes in the Beeler-Reuter model.
    • Pseudo-random current injection is a viable experimental design for inferring membrane properties.
    • Appropriate experimental design allows inference of underlying membrane currents from transmembrane potential waveforms.