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

Modern pacemakers: implantable artificial intelligence?

W R Dassen1, K den Dulk, H J Wellens

  • 1Dept. of Cardiology, University of Limbu, Maastricht, The Netherlands.

Pacing and Clinical Electrophysiology : PACE
|November 1, 1988
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

A peek behind the curtain.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2018
Same author

A peek behind the curtain.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2018
Same author

Reply to the letter from A. Zorzi and D. Corrado. Rhythm analysis with an AED in an unconscious athlete.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2018
Same author

Early recognition of sudden cardiac arrest in athletes during sports activity.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2017
Same author

A supraventricular tachycardia showing alternation of the QRS interval.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2013
Same author

A supraventricular tachycardia showing alternation of the QRS interval.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation·2013
Same journal

A Case of Permanent Pacemaker Implantation via the Epicardial Approach Using the 3830 Lead in an 11-Day-Old Neonate (With Follow-Up of the Above Case).

Pacing and clinical electrophysiology : PACE·2026
Same journal

Cryoballoon Versus Radiofrequency Ablation for Persistent Atrial Fibrillation: Meta-Analysis of Randomized Trials.

Pacing and clinical electrophysiology : PACE·2026
Same journal

Tilt Test Duration in Suspected Vasovagal Syncope: Temporal Patterns and Diagnostic Yield in Patients From Central China.

Pacing and clinical electrophysiology : PACE·2026
Same journal

Combined Leadless Pacing and Subcutaneous ICD Therapy in Long QT Syndromes.

Pacing and clinical electrophysiology : PACE·2026
Same journal

Association of Anesthesia Modality With Procedural Parameters and Clinical Outcomes in PVI for Atrial Fibrillation.

Pacing and clinical electrophysiology : PACE·2026
Same journal

Zero-Fluoroscopy Cryoballoon Ablation for Paroxysmal Atrial Fibrillation in a Patient With Dextrocardia: A Case Report.

Pacing and clinical electrophysiology : PACE·2026
See all related articles

Expert Systems in cardiology leverage artificial intelligence to optimize pacemaker therapy and analyze electrocardiograms. These systems enable intelligent pacemaker design and reproducible simulation of heart-pacemaker interactions.

Area of Science:

  • Cardiology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Computer programs have been utilized in cardiology for over two decades.
  • Expert Systems, applying cardiology knowledge, emerged approximately ten years ago, significantly advancing the field.
  • The development of Expert System shells facilitated a breakthrough in creating specialized cardiology applications.

Purpose of the Study:

  • To explore the application of Expert Systems in the field of cardiology.
  • To highlight the role of artificial intelligence in designing intelligent pacemakers.
  • To demonstrate the capability of knowledge representation for simulating heart-pacemaker interactions.

Main Methods:

  • Development of Expert Systems utilizing cardiology knowledge.

Related Experiment Videos

  • Application of Expert System shells for creating specialized systems.
  • Utilizing artificial intelligence techniques for intelligent device design and analysis.
  • Main Results:

    • Numerous Expert Systems have been developed, each addressing specific aspects of cardiology.
    • Expert Systems are effective in selecting optimal pacemaker therapy and analyzing complex pacemaker electrocardiograms.
    • Knowledge representation facilitates reproducible simulations of the heart-pacemaker interaction.

    Conclusions:

    • Expert Systems represent a significant advancement in cardiology applications.
    • Artificial intelligence techniques enable the development of intelligent pacemakers.
    • These systems enhance the understanding and simulation of heart-pacemaker interactions.