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

Augmented two-channel arrhythmia detection: an efficient diagnostic method for implantable devices

C M Chiang1, J M Jenkins, S A Caswell

  • 1Department of Electrical Engineering, University of Michigan, Ann Arbor, USA.

Pacing and Clinical Electrophysiology : PACE
|October 1, 1996
PubMed
Summary

The augmented two-channel arrhythmia detection (A2CAD) algorithm improves implantable cardioverter-defibrillator (ICD) accuracy. This novel approach reduces inappropriate shocks by precisely identifying life-threatening arrhythmias.

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

A resonant sextuplet of sub-Neptunes transiting the bright star HD 110067.

Nature·2023
Same author

Extreme oxidant amounts produced by lightning in storm clouds.

Science (New York, N.Y.)·2021
Same author

A nearby transiting rocky exoplanet that is suitable for atmospheric investigation.

Science (New York, N.Y.)·2021
Same author

Understanding the Role of Mass-Unloading in a Filament Eruption.

Solar physics·2020
Same author

Shooting up? Analysis of 182 gunshot injuries presenting to a London major trauma centre over a seven-year period.

Annals of the Royal College of Surgeons of England·2018
Same author

Differential relationships between D1 and D2 dopamine receptor expression in the medial preoptic nucleus and sexually-motivated song in male European starlings (Sturnus vulgaris).

Neuroscience·2015

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Implantable cardioverter-defibrillators (ICDs) are crucial for preventing sudden cardiac death.
  • Inappropriate shocks from false-positive arrhythmia detection affect up to 20% of patients.
  • Enhanced tachycardia identification is needed for improved ICD performance.

Purpose of the Study:

  • To introduce the augmented two-channel arrhythmia detection (A2CAD) algorithm for precise arrhythmia detection.
  • To improve the accuracy of implantable electrical devices in identifying arrhythmias requiring therapy.
  • To reduce the incidence of inappropriate shocks in patients with ICDs.

Main Methods:

  • Developed a real-time algorithm (A2CAD) using timing and morphology from atrial and ventricular channels.

Related Experiment Videos

  • Implemented a two-stage detection process: initial rate detection followed by morphological analysis for complex rhythms.
  • Tested the algorithm on 60 passages of two-channel intracardiac signals, including various arrhythmias like AF, SVT, VT, and VF.

    • Main Results:

    • The A2CAD algorithm achieved a 95% success rate (57 out of 60 cases).
    • Demonstrated high accuracy in distinguishing between different types of arrhythmias.
    • Successfully identified complex cases, including atrial fibrillation with ventricular fibrillation.

    Conclusions:

    • The A2CAD algorithm shows significant potential for enhancing the precision of arrhythmia detection in implantable devices.
    • This algorithm can help reduce inappropriate shocks, improving patient safety and device efficacy.
    • A2CAD represents a promising advancement for future generations of implantable cardioverter-defibrillators.