Literature DB >> 28268379

Kurtosis as a statistical approach to identify the pivot point of the rotor.

Shivaram P Arunachalam, Elizabeth M Annoni, Siva K Mulpuru, Paul A Friedman, Elena G Tolkacheva.   

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.

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Year:  2016        PMID: 28268379     DOI: 10.1109/EMBC.2016.7590748

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping.

Authors:  Elizabeth M Annoni; Shivaram Poigai Arunachalam; Suraj Kapa; Siva K Mulpuru; Paul A Friedman; Elena G Tolkacheva
Journal:  IEEE Trans Biomed Eng       Date:  2017-10-16       Impact factor: 4.538

2.  Novel mapping techniques for rotor core detection using simulated intracardiac electrograms.

Authors:  Vasanth Ravikumar; Elizabeth Annoni; Preethy Parthiban; Sharon Zlochiver; Henri Roukoz; Siva K Mulpuru; Elena G Tolkacheva
Journal:  J Cardiovasc Electrophysiol       Date:  2021-02-22

3.  Similarity Score for the Identification of Active Sites in Patients With Atrial Fibrillation.

Authors:  Vasanth Ravikumar; Sanket Thakare; Xiangzhen Kong; Henri Roukoz; Elena G Tolkacheva
Journal:  Front Physiol       Date:  2022-01-20       Impact factor: 4.566

4.  Novel approaches for quantitative electrogram analysis for intraprocedural guidance for catheter ablation: A case of a patient with persistent atrial fibrillation.

Authors:  S P Arunachalam; S Kapa; S K Mulpuru; P A Friedman; E G Tolkacheva
Journal:  Nucl Med Biomed Imaging       Date:  2017-06-16
  4 in total

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