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

Quantifying electrocardiogram RT-RR variability interactions

A Porta1, G Baselli, E Caiani

  • 1Dipartimento di Bioingegneria, Politecnico di Milano, Italy. porta@biomed.polimi.it

Medical & Biological Engineering & Computing
|June 6, 1998
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

Study of the Beta Spectrum Shape of ^{92}Rb and ^{142}Cs Decays for the Prediction of Reactor Antineutrino Spectra.

Physical review letters·2025
Same author

In vitro fertilization: an unexpected finding in a cohort of patients with biliary atresia.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2023
Same author

IFNγ-dependent silencing of TFF1 during <i>Helicobacter pylori</i> infection.

Open biology·2022
Same author

Intracranial compliance in type 2 diabetes mellitus and its relationship with the cardiovascular autonomic nervous control.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2022
Same author

Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate variability.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2021
Same author

Updated Summation Model: An Improved Agreement with the Daya Bay Antineutrino Fluxes.

Physical review letters·2019
Same journal

Reduced mechanical strength correlates with decreased elastin content in aortic intima-media tissue: association with dissection in human ascending aortas.

Medical & biological engineering & computing·2026
Same journal

How plaque morphology and stenosis severity govern stent-artery interaction and deployment outcomes: a computational study.

Medical & biological engineering & computing·2026
Same journal

Investigating a relation between amyloid beta plaque burden and accumulated neurotoxicity caused by amyloid beta oligomers.

Medical & biological engineering & computing·2026
Same journal

A robot-assisted eye positioning method with high precision and repeatability for ocular particle therapy: mechanical and geometric assessment.

Medical & biological engineering & computing·2026
Same journal

Enhanced puncture event detection for teleoperated needle insertion robotic system.

Medical & biological engineering & computing·2026
Same journal

Energy-efficient real-time 4-stage sleep classification at 10-second resolution.

Medical & biological engineering & computing·2026
See all related articles

This study introduces a dynamic model to analyze ventricular repolarization variability, linking it to heart rate changes and other factors. The findings reveal distinct RR-related and unrelated components influencing repolarization dynamics.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Nonlinear Dynamics

Background:

  • Ventricular repolarization duration variability is influenced by heart period changes.
  • Quantifying the relationship between heart period and repolarization is crucial for understanding cardiac regulation.
  • Existing models may not fully capture the complex interplay between these factors.

Purpose of the Study:

  • To develop and validate a dynamic linear parametric model to quantify ventricular repolarization duration variability.
  • To differentiate between heart rate-dependent (RR-related) and independent (RR-unrelated) components of repolarization variability.
  • To investigate the impact of physiological maneuvers like tilt and controlled respiration on the coupling between heart period and repolarization.

Main Methods:

Related Experiment Videos

  • Analysis of beat-to-beat RR intervals and R-wave to T-wave apex (RT) periods.
  • Application of parametric identification and spectral decomposition techniques.
  • Calculation of the RT-RR transfer function to assess coupling dynamics.
  • Evaluation during tilt and controlled respiration protocols.

Main Results:

  • RT variability comprises both RR-related and RR-unrelated components, with the latter being significant at very low frequencies.
  • During tilt, RR-related RT power increased, RR-unrelated power remained stable, and RT-RR gain significantly increased at low frequencies.
  • Controlled respiration did not affect RR-related or RR-unrelated RT power at low frequencies, but increased RT-RR gain at high frequencies.

Conclusions:

  • The dynamic model effectively quantifies ventricular repolarization variability and its dependence on heart period.
  • Distinct contributions of RR-related and RR-unrelated factors to repolarization dynamics were identified.
  • The findings provide insights into the regulation of ventricular repolarization and offer potential for new clinical indices.