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

Algorithm for ventricular capture verification based on the mechanical evoked response.

E Yaacoby1, S Akselrod, M Eldar

  • 1Department of Physics, Tel-Aviv University, Tel Aviv, Israel.

Medical & Biological Engineering & Computing
|November 1, 2005
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

Hemodynamic responses to head-up tilt after spinal cord injury support a role for the mid-thoracic spinal cord in cardiovascular regulation.

Spinal cord·2010
Same author

Modified cold pressor test by cold application to the foot after spinal cord injury: suggestion of hemodynamic control by the spinal cord.

American journal of physical medicine & rehabilitation·2007
Same author

Cold pressor test in tetraplegia and paraplegia suggests an independent role of the thoracic spinal cord in the hemodynamic responses to cold.

Spinal cord·2007
Same author

Hemodynamic effects of liquid food ingestion in mid-thoracic paraplegia: is supine postprandial hypotension related to thoracic spinal cord damage?

Spinal cord·2006
Same author

Statistical analysis of the DIAMOND MI study by the multipole method.

Physiological measurement·2005
Same author

Phase-averaged characterization of respiratory sinus arrhythmia pattern.

American journal of physiology. Heart and circulatory physiology·2004
Same journal

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

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

A new algorithm using impedance measurements accurately verifies pacemaker capture. This method improves safety and efficiency for pacemaker patients by reliably detecting effective heart contractions.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Medical Devices

Background:

  • Pacemaker function relies on capture verification for patient safety and energy efficiency.
  • Current methods for verifying pacemaker capture can be complex or energy-intensive.
  • Intracardiac impedance measurement offers a potential non-invasive approach to assess cardiac activity.

Purpose of the Study:

  • To develop and evaluate a novel algorithm for automatic pacemaker capture verification.
  • To assess the feasibility and accuracy of using intracardiac impedance signals for capture detection.
  • To compare different algorithmic approaches for analyzing impedance signals.

Main Methods:

  • Intracardiac impedance data were collected from 17 subjects during pacemaker implantation.

Related Experiment Videos

  • Pacing was performed at varying energy levels to induce both captured and non-captured beats.
  • Three algorithms (Z1, Zn, Z'n) analyzing impedance signal morphology were tested against surface ECG recordings.

    • Main Results:

    • The algorithm based on the first derivative of impedance with multiple samples (Z'n) achieved the highest accuracy (92%).
    • Algorithms using multiple samples (Zn: 87%, Z'n: 92%) significantly outperformed single-sample analysis (Z1: 43%).
    • Impedance-based verification demonstrated feasibility for distinguishing between captured and non-captured pacemaker beats.

    Conclusions:

    • Automatic pacemaker capture verification using intracardiac impedance is feasible and accurate.
    • A multi-sample analysis approach is superior to single-sample methods for impedance signal classification.
    • The Z'n algorithm, utilizing first derivative analysis with multiple samples, provides optimal results for capture verification.