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A review on atrial fibrillation (computer simulation and clinical perspectives)
  • Muhammad Adib Uz Zaman,
  • Dongping Du
Muhammad Adib Uz Zaman
Texas Tech University

Corresponding Author:[email protected]

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Dongping Du
Texas Tech University
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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 clinical procedures, signal processing, finite element analysis and mathematical modeling. This article is focused on a review of some journal articles published in the field of AF. From the age-old fundamental concepts to specialized modern techniques involved in today’s AF research have been discussed. It is found that quite a large number 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. Simulation and modeling of AF have been investigated by many researchers in this field. Cellular model, tissue model, 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 till 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 (like AF ablation, anti coagulation, risk-factor, etc.) 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. This study will help to find existing research gaps in analysis and diagnosis of AF