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

Methods for testing automatic mode switching in patients implanted with DDD(R) pacemakers.

Chu-Pak Lau1, Franco Mascia, Giorgio Corbucci

  • 1Department of Medicine, Queen Mary Hospital, Hong Kong.

Italian Heart Journal : Official Journal of the Italian Federation of Cardiology
|April 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

Asia Pacific Heart Rhythm Society (APHRS) scientific statement on stroke prevention strategies in patients with device-detected atrial fibrillation: the 4S-DDAF approach.

The Lancet regional health. Western Pacific·2026
Same author

Cardiac implantable electronic device upgrades and downgrades: a Clinical Consensus Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Asia Pacific Heart Rhythm Association (APHRS), Canadian Heart Rhythm Society (CHRS), Heart Rhythm Society (HRS), and the Latin American Heart Rhythm Society (LAHRS).

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025
Same author

Development of three-step holistic care pathways to detect and manage comorbidities in patients with atrial fibrillation: the Horizon 2020 EHRA-PATHS consortium.

European heart journal open·2025
Same author

Adverse Effect of Ventricular Rate Regularization Pacing in Biventricular Cardiac Resynchronization Therapy.

Journal of cardiovascular electrophysiology·2025
Same author

Impacts of viral respiratory infections on segments of fatal out-of-hospital cardiac arrests.

Postgraduate medical journal·2025
Same author

Postmortem Removal of Submuscularly Placed Subcutaneous Implantable Cardioverter Defibrillator in the Obese.

Pacing and clinical electrophysiology : PACE·2025

Assessing automatic mode switching (AMS) algorithms for atrial fibrillation (AF) is challenging in vivo. This study explores three non-invasive methods—myopotentials, chest wall stimulation, and arrhythmia simulators—as alternatives for evaluating AMS functionality.

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Medical Device Technology

Background:

  • Assessing automatic mode switching (AMS) algorithms in pacemakers for atrial fibrillation (AF) is difficult due to the unpredictable nature of spontaneous AF episodes.
  • Inducing AF for in vivo testing raises clinical concerns, necessitating alternative evaluation methods.

Purpose of the Study:

  • To propose and evaluate three non-invasive techniques for assessing AMS algorithms in the context of atrial fibrillation.
  • To compare the feasibility and advantages of myopotentials, chest wall stimulation, and external arrhythmia simulators for AF detection algorithm testing.

Main Methods:

  • Myopotential method: Utilizes patient-generated signals (e.g., handgrip) without additional equipment.
  • Chest wall stimulation method: Employs standard cardiac stimulation devices available in implanting centers.

Related Experiment Videos

  • External supraventricular arrhythmia simulator: Generates detailed ECG traces but requires specialized electronic equipment.
  • Main Results:

    • Myopotential method is simple but may not yield adequate signals in all patients.
    • Chest wall stimulation is feasible in any implanting center using standard equipment.
    • The arrhythmia simulator provides detailed ECG data but necessitates dedicated hardware.

    Conclusions:

    • Non-invasive methods offer viable alternatives for assessing AMS algorithms when in vivo testing is impractical or concerning.
    • Each proposed method (myopotentials, chest wall stimulation, arrhythmia simulator) presents unique advantages and limitations regarding accessibility, signal quality, and equipment requirements.