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 Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

92
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
92
Machines: Problem Solving II01:30

Machines: Problem Solving II

350
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
350

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of Baseline Left Atrial Size on Outcomes Following Catheter Ablation for AF in Patients With Left Ventricular Systolic Dysfunction.

Circulation. Arrhythmia and electrophysiology·2024
Same author

An unappreciated cell survival-independent role for BAFF initiating chronic lymphocytic leukemia.

Frontiers in immunology·2024
Same author

Impact of early vs. delayed atrial fibrillation catheter ablation on atrial arrhythmia recurrences.

European heart journal·2023
Same author

CD8<sup>+</sup> T Cells Promote Pathological Angiogenesis in Ocular Neovascular Disease.

Arteriosclerosis, thrombosis, and vascular biology·2023
Same author

Utility of an automatic electrogram fractionation annotation algorithm for detection of critical elements in atrial flutter circuits? the search for EP gold.

Journal of cardiovascular electrophysiology·2022
Same author

Multiple wavefront substrate mapping using a novel late potential mapping algorithm: Can one wavefront rule them all?

Journal of cardiovascular electrophysiology·2022
Same journal

Pulsed Field Ablation Is Associated With Fewer Post-Procedural Pericardial Inflammatory Symptoms Compared With Radiofrequency Ablation.

Journal of cardiovascular electrophysiology·2026
Same journal

Single-Cell Transcriptomics and Mendelian Randomization Analysis Reveal Key Genes in Atrial Fibrillation.

Journal of cardiovascular electrophysiology·2026
Same journal

Relationship Between Nonuniform Isochrone-Area in Late Activation Mapping and Arrhythmogenic Substrates Related to Atrial Fibrillation.

Journal of cardiovascular electrophysiology·2026
Same journal

Clinical Utility of Tissue Proximity Indication With a Variable-Loop Circular Catheter for Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology·2026
Same journal

Impact of Carina Width on Re-Ablation Rate of Atrial Fibrillation After Primary Cryoballoon-Ablation.

Journal of cardiovascular electrophysiology·2026
Same journal

Mediastinal Air Entrapment During Extravascular ICD Implantation: A Preventable Cause of Elevated Shock Impedance.

Journal of cardiovascular electrophysiology·2026
See all related articles

Related Experiment Video

Updated: Aug 11, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

112

Machine learning in EP research: New tools for old problems

William A Figgett1, Joshua Hawson2,3, Geoffrey Lee2,3

  • 1Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.

Journal of Cardiovascular Electrophysiology
|February 4, 2023
PubMed
Summary

No abstract available in PubMed .

Keywords:
electroanatomical mappingmachine learningventricular tachycardia

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

431

Related Experiment Videos

Last Updated: Aug 11, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

112
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

431