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P-wave Variability and Atrial Fibrillation
The analysis of P-wave template has been widely used to extract indices of Atrial Fibrillation (AF) risk stratification. The aim of this paper was to assess the potential of the analysis of the P-wave variability over time in patients suffering from atrial fibrillation. P-wave features extracted fro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4880942/ https://www.ncbi.nlm.nih.gov/pubmed/27225709 http://dx.doi.org/10.1038/srep26799 |
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author | Censi, Federica Corazza, Ivan Reggiani, Elisa Calcagnini, Giovanni Mattei, Eugenio Triventi, Michele Boriani, Giuseppe |
author_facet | Censi, Federica Corazza, Ivan Reggiani, Elisa Calcagnini, Giovanni Mattei, Eugenio Triventi, Michele Boriani, Giuseppe |
author_sort | Censi, Federica |
collection | PubMed |
description | The analysis of P-wave template has been widely used to extract indices of Atrial Fibrillation (AF) risk stratification. The aim of this paper was to assess the potential of the analysis of the P-wave variability over time in patients suffering from atrial fibrillation. P-wave features extracted from P-wave template together with novel indices of P-wave variability have been estimated in a population of patients suffering from persistent AF and compared to those extracted from control subjects. We quantify the P-wave variability over time using three algorithms and we extracted three novel indices: one based on the cross-correlation coefficients among the P-waves (Cross-Correlation Index, CCI), one associated to variation in amplitude of the P-waves (Amplitude Dispersion Index, ADI), one sensible to the phase shift among P-waves (Warping Index, WI). The control group resulted to be characterized by shorter P-wave duration and by a less amount of fragmentation and variability, respect to AF patients. The parameter CCI shows the highest sensitivity (97.3%) and a good specificity (95%). |
format | Online Article Text |
id | pubmed-4880942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48809422016-06-07 P-wave Variability and Atrial Fibrillation Censi, Federica Corazza, Ivan Reggiani, Elisa Calcagnini, Giovanni Mattei, Eugenio Triventi, Michele Boriani, Giuseppe Sci Rep Article The analysis of P-wave template has been widely used to extract indices of Atrial Fibrillation (AF) risk stratification. The aim of this paper was to assess the potential of the analysis of the P-wave variability over time in patients suffering from atrial fibrillation. P-wave features extracted from P-wave template together with novel indices of P-wave variability have been estimated in a population of patients suffering from persistent AF and compared to those extracted from control subjects. We quantify the P-wave variability over time using three algorithms and we extracted three novel indices: one based on the cross-correlation coefficients among the P-waves (Cross-Correlation Index, CCI), one associated to variation in amplitude of the P-waves (Amplitude Dispersion Index, ADI), one sensible to the phase shift among P-waves (Warping Index, WI). The control group resulted to be characterized by shorter P-wave duration and by a less amount of fragmentation and variability, respect to AF patients. The parameter CCI shows the highest sensitivity (97.3%) and a good specificity (95%). Nature Publishing Group 2016-05-26 /pmc/articles/PMC4880942/ /pubmed/27225709 http://dx.doi.org/10.1038/srep26799 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Censi, Federica Corazza, Ivan Reggiani, Elisa Calcagnini, Giovanni Mattei, Eugenio Triventi, Michele Boriani, Giuseppe P-wave Variability and Atrial Fibrillation |
title | P-wave Variability and Atrial Fibrillation |
title_full | P-wave Variability and Atrial Fibrillation |
title_fullStr | P-wave Variability and Atrial Fibrillation |
title_full_unstemmed | P-wave Variability and Atrial Fibrillation |
title_short | P-wave Variability and Atrial Fibrillation |
title_sort | p-wave variability and atrial fibrillation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4880942/ https://www.ncbi.nlm.nih.gov/pubmed/27225709 http://dx.doi.org/10.1038/srep26799 |
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