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Correction ARTICLE

Front. Physiol., 04 September 2018 | https://doi.org/10.3389/fphys.2018.01260

Corrigendum: Real-Time Rotational Activity Detection in Atrial Fibrillation

Gonzalo R. Ríos-Muñoz1,2*, Ángel Árenal2,3 and Antonio Artés-Rodríguez1,2
  • 1Signal Theory and Communications Department, Universidad Carlos III de Madrid, Madrid, Spain
  • 2Gregorio Marañón Health Research Institute, Madrid, Spain
  • 3Department of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain

A Corrigendum on
Real-Time Rotational Activity Detection in Atrial Fibrillation

by Ríos-Muñoz, G. R., Arenal, Á., and Artés-Rodríguez, A. (2018) Front. Physiol. 9:208. doi: 10.3389/fphys.2018.00208

In the original article, we neglected to include the funder Beca de la Sección de Electrofisiología y Arritmias de la SEC. Therefore, the Funding section was updated:

This work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), Comunidad de Madrid (project CASI-CAM-CM, id. S2013/ICE-2845), and the grant Beca de la Sección de Electrofisiología y Arritmias de la SEC.

We found a caption error in Figure 8, where labels A–C should be reordered to (A) Sinus Rhythm. (B) Rotor. (C) Chaotic wavefront collision, and the sign of the second reference to +Γth should be changed to −Γth. The caption was updated to reflect this change:

Figure 8. Rotational activity detector in in silico signals. Detection performed on the three simulation scenarios. The method detects rotational activation if the value of Γ[n] exceeds the upper threshold +Γth or falls below the lower threshold −Γth. The sign of Γ[n] reflects the rotational gyre direction, being positive if the gyre matches the rotation mask spin (clockwise/counterclockwise depending on the chosen pattern), or negative if the propagation rotates in the opposite mask direction. For the simulation cases we applied the detection on the full Γ[n] and the interpolated Γ^[n] grids to compare both outcomes. Signals from top to bottom: (A) Sinus rhythm. (B) Rotor. (C) Chaotic wavefront collision. Parameters were γ = 150 samples and Γth = γ/7.

Additionally, the caption in the Figure 12 should reference the Figure 7D, and not Figure 3C.

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way.

The original article has been updated.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Keywords: atrial fibrillation, multi-electrode catheter, signal processing, real-time, rotors, rotational activity

Citation: Ríos-Muñoz GR, Arenal Á and Artés-Rodríguez A (2018) Corrigendum: Real-Time Rotational Activity Detection in Atrial Fibrillation. Front. Physiol. 9:1260. doi: 10.3389/fphys.2018.01260

Received: 18 June 2018; Accepted: 21 August 2018;
Published: 04 September 2018.

Edited by:

Olivier Bernus, Université de Bordeaux, France

Reviewed by:

Sanjay Ram Kharche, University of Western Ontario, Canada
Vadim V. Fedorov, The Ohio State University, United States

Copyright © 2018 Ríos-Muñoz, Arenal and Artés-Rodríguez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gonzalo R. Ríos-Muñoz, griosm@tsc.uc3m.es