Abstract
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.
Highlights
Introduction and BackgroundAtrial fibrillation (AF) is one of the most common types of cardiac arrhythmia and affects more than 2 million people in the United States alone [1]
Since the generation of AF is contributed to the atrium and its cellular remodeling, human atrial simulation models have been popular in the diagnosis of AF [12]
When an AF patient is treated with ablation, cardiac rhythm control becomes very important for the recovery
Summary
AF is one of the most common types of cardiac arrhythmia and affects more than 2 million people in the United States alone [1]. AF research combines different major areas such as signal processing, statistical techniques, simulation, algorithms, and demands their collaborated efforts to its modeling, diagnosis, and post-operative treatments. This is what makes it a very interesting topic for research in recent days. The primary objective of this brief literature review is to find the existing research gaps primarily in modeling, simulation, and diagnosis of AF [29,30,31]. We present the overview of some important journal articles in simulation and modeling of AF followed by another section dedicated to the review of articles on rotor/trigger identification of AF diagnosis. A few important research gaps and opportunities are discussed as part of concluding remarks
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
