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

On computing dominant frequency from bipolar intracardiac electrograms.

Gerald Fischer1, Markus Ch Stühlinger, Claudia N Nowak

  • 1University for Health Sciences, Medical Informatics and Technology (UMIT), Hall in Tyrol 6060, Austria. gerald.fischer@umit.at

IEEE Transactions on Bio-Medical Engineering
|January 31, 2007
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

Conventional cardiac resynchronization therapy upgrading and its effect on functional mitral regurgitation in patients with pacing-induced cardiomyopathy.

Frontiers in cardiovascular medicine·2026
Same author

Mathematical Comments on Linking Neurofilament Light Chain Levels to Disease Severity in Hereditary Spastic Paraplegia Subtypes SPG11 and SPG15.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

The Pulmonary Hypertension Global Patient Survey: Physical and Psychosocial Impacts on Health-Related Quality of Life.

Pulmonary circulation·2026
Same author

The Pulmonary Hypertension Global Patient Survey: Understanding the Invisible Burden of Paediatric Pulmonary Hypertension.

Pulmonary circulation·2026
Same author

The Pulmonary Hypertension Global Patient Survey: Groups 2 and 3.

Pulmonary circulation·2026
Same author

The Pulmonary Hypertension Global Patient Survey: understanding the experiences and perspectives of patients.

ERJ open research·2025
Same journal

Assessment of skin stiffness in systemic sclerosis using optical coherence elastography: A comparative study with histology and clinical parameters.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers.

IEEE transactions on bio-medical engineering·2026
Same journal

A Kalman Filter-Based Framework for Granger Causality Assessment: Application in Tracking Maternal-Fetal Heart Rate Coupling.

IEEE transactions on bio-medical engineering·2026
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
See all related articles

Dominant frequency (DF) analysis in atrial fibrillation reveals that signal timing, not amplitude, drives the primary frequency peak. This finding impacts how we measure signal organization and could improve real-time processing tools.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Dominant frequency (DF) is crucial for studying atrial fibrillation (AF) in animal models and simulations.
  • Clinical trials successfully computed DF from filtered human electrograms, but the underlying theory for recovering low-frequency DF was unclear.
  • Existing methods for assessing signal organization, like the regularity index (RI), are affected by signal morphology and harmonic peaks.

Purpose of the Study:

  • To provide the theoretical background for recovering low-frequency DF by analyzing the contribution of signal components.
  • To investigate the impact of signal morphology and harmonic peaks on the regularity index (RI).
  • To explore potential improvements in organization measures and real-time DF computation.

Main Methods:

Related Experiment Videos

  • Fourier analysis of bipolar electrograms.
  • Analysis of synthetical and patient data.
  • Investigation of signal timing and morphology contributions to the frequency spectrum.

Main Results:

  • The timing of narrow deflections (local activation) primarily determines the DF peak in the frequency spectrum.
  • Signal morphology leads to pronounced harmonic peaks, negatively impacting the regularity index (RI) at low DF.
  • Low DF values can result in suboptimal RI, even with high underlying organization and good signal quality.

Conclusions:

  • The timing of local activation is the main contributor to the dominant frequency (DF) in electrograms.
  • Current regularity index (RI) calculations are limited by signal morphology and harmonic peaks, especially at low DF.
  • Understanding DF's basis in timing can drive the development of improved organization metrics and real-time signal processing tools for AF analysis.