ReviewComputers in biology and medicine2018
Analytical approaches for myocardial fibrillation signals.
Review in Computers in biology and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Mapping and ablation of ventricular fibrillation substrate.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Review
- Evaluation of the responsiveness pattern to caffeine through a smart data-driven ECG non-linear multi-band analysis.Heliyon · 2024Article
- Ventricular fibrillation mechanism and global fibrillatory organization are determined by gap junction coupling and fibrosis pattern.Cardiovascular research · 2021Article
- Classification of Fibrillation Organisation Using Electrocardiograms to Guide Mechanism-Directed Treatments.Frontiers in physiology · 2021Article
- Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers.Circulation. Arrhythmia and electrophysiology · 2020Article
- Challenges Associated with Interpreting Mechanisms of AF.Arrhythmia & electrophysiology review · 2020Review
- Article
- Investigation of the Role of Myocyte Orientations in Cardiac Arrhythmia Using Image-Based Models.Biophysical journal · 2019Article
- Standardised Framework for Quantitative Analysis of Fibrillation Dynamics.Scientific reports · 2019Article
- Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.Computer methods and programs in biomedicine · 2019Review
- Interventricular Differences in Action Potential Duration Restitution Contribute to Dissimilar Ventricular Rhythms inFrontiers in cardiovascular medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Atrial and ventricular fibrillation are complex arrhythmias, and their underlying mechanisms remain widely debated and incompletely understood. This is partly because the electrical signals recorded during myocardial fibrillation are themselves complex and difficult to interpret with simple analytical tools. There are currently a number of analytical approaches to handle fibrillation data. Some of these techniques focus on mapping putative drivers of myocardial fibrillation, such as dominant frequency, organizational index, Shannon entropy and phase mapping. Other techniques focus on mapping the underlying myocardial substrate sustaining fibrillation, such as voltage mapping and complex fractionated electrogram mapping. In this review, we discuss these techniques, their application and their limitations, with reference to our experimental and clinical data. We also describe novel tools including a new algorithm to map microreentrant circuits sustaining fibrillation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.