Key result
A comprehensive review of atrial fibrillation research highlights extensive progress in modeling and simulation, while identifying significant gaps in diagnosis and post-operative management.
Why the study?
Diagnosis and post-operative procedures for AF are not fully understood compared to modeling and simulation, and identifying research gaps in AF analysis and diagnosis is needed.
This review highlights the need for more research into the diagnosis and clinical management of AF, particularly beyond persistent AF, to complement existing computational models.
Atrial fibrillation (AF), a heart condition, has been a well-researched topic for the past few decades. This multidisciplinary field of study deals with signal processing, finite element analysis, mathematical modeling, optimization, and clinical procedure. This article is focused on a comprehensive review of journal articles published in the field of AF. Topics from the age-old fundamental concepts to specialized modern techniques involved in today’s AF research are discussed. It was found that a lot of research articles have already been published in modeling and simulation of AF. In comparison to that, the diagnosis and post-operative procedures for AF patients have not yet been totally understood or explored by the researchers. The simulation and modeling of AF have been investigated by many researchers in this field. Cellular model, tissue model, and geometric model among others have been used to simulate AF. Due to a very complex nature, the causes of AF have not been fully perceived to date, but the simulated results are validated with real-life patient data. Many algorithms have been proposed to detect the source of AF in human atria. There are many ablation strategies for AF patients, but the search for more efficient ablation strategies is still going on. AF management for patients with different stages of AF has been discussed in the literature as well but is somehow limited mostly to the patients with persistent AF. The authors hope that this study helps to find existing research gaps in the analysis and the diagnosis of AF.
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Zaman et al. (2022) conducted a review in Atrial fibrillation. A comprehensive review of atrial fibrillation research highlights extensive progress in modeling and simulation, while identifying significant gaps in diagnosis and post-operative management.
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