Literature DB >> 25284217

Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis.

Rebeca Goya-Esteban1, Frida Sandberg, Óscar Barquero-Pérez, Arcadio García-Alberola, Leif Sörnmo, José Luis Rojo-Álvarez.   

Abstract

Short-term properties of atrial fibrillation (AF) frequency, f-wave morphology, and irregularity parameters have been thoroughly studied, but not long-term properties. In the present work, f-wave morphology is characterized by principal component analysis, introducing a novel temporal parameter defined by the cumulative normalized variance of the three largest principal components (r3). Based on 7-day recordings from nine patients with stable chronic heart failure and persistent AF, long-term properties were studied in terms of r3 AF frequency, and sample entropy (SampEn). The main result of the present study is that detection of circadian rhythms depends on the parameter considered: rhythms were found in six (r3, SampEn) and five (AF frequency) patients, but not always in the same patient. Another important result is that circadian rhythms detected in 7-day recordings could not always be detected in 24-h periods, thus shedding new light on the results in previous studies which all were based on 24-h recordings. Infradian rhythms were found in four (r3, SampEn) and one (AF frequency) patients.

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Year:  2014        PMID: 25284217     DOI: 10.1007/s11517-014-1199-x

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  16 in total

1.  Physiological time-series analysis using approximate entropy and sample entropy.

Authors:  J S Richman; J R Moorman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-06       Impact factor: 4.733

2.  Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation.

Authors:  M Stridh; L Sörnmo
Journal:  IEEE Trans Biomed Eng       Date:  2001-01       Impact factor: 4.538

3.  Heart rate variability on 7-day Holter monitoring using a bootstrap rhythmometric procedure.

Authors:  Rebeca Goya-Esteban; Inmaculada Mora-Jiménez; José Luis Rojo-Alvarez; Oscar Barquero-Pérez; Francisco J Pastor-Pérez; Sergio Manzano-Fernández; Domingo A Pascual-Figal; Arcadi García-Alberola
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

4.  Circadian variations in atrial fibrillatory frequency in persistent human atrial fibrillation.

Authors:  A Bollmann; K Sonne; H D Esperer; I Toepffer; H U Klein
Journal:  Pacing Clin Electrophysiol       Date:  2000-11       Impact factor: 1.976

5.  Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation.

Authors:  Frida Sandberg; Andreas Bollmann; Daniela Husser; Martin Stridh; Leif Sörnmo
Journal:  Physiol Meas       Date:  2010-03-05       Impact factor: 2.833

6.  Predicting spontaneous termination of atrial fibrillation using the surface ECG.

Authors:  Frida Nilsson; Martin Stridh; Andreas Bollmann; Leif Sörnmo
Journal:  Med Eng Phys       Date:  2006-01-25       Impact factor: 2.242

7.  Waveform characterization of atrial fibrillation using phase information.

Authors:  Martin Stridh; Daniela Husser; Andreas Bollmann; Leif Sörnmo
Journal:  IEEE Trans Biomed Eng       Date:  2008-10-31       Impact factor: 4.538

8.  Non-invasive assessment of the atrial cycle length during atrial fibrillation in man: introducing, validating and illustrating a new ECG method.

Authors:  M Holm; S Pehrson; M Ingemansson; L Sörnmo; R Johansson; L Sandhall; M Sunemark; B Smideberg; C Olsson; S B Olsson
Journal:  Cardiovasc Res       Date:  1998-04       Impact factor: 10.787

9.  Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation.

Authors:  Raúl Alcaraz; José J Rieta
Journal:  Med Eng Phys       Date:  2009-06-05       Impact factor: 2.242

10.  Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation.

Authors:  L Faes; G Nollo; M Kirchner; E Olivetti; F Gaita; R Riccardi; R Antolini
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

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  3 in total

1.  Sample Entropy in Electrocardiogram During Atrial Fibrillation.

Authors:  Takuya Horie; Naoto Burioka; Takashi Amisaki; Eiji Shimizu
Journal:  Yonago Acta Med       Date:  2018-03-28       Impact factor: 1.641

2.  On the Robustness of Multiscale Indices for Long-Term Monitoring in Cardiac Signals.

Authors:  Mohammed El-Yaagoubi; Rebeca Goya-Esteban; Younes Jabrane; Sergio Muñoz-Romero; Arcadi García-Alberola; José Luis Rojo-Álvarez
Journal:  Entropy (Basel)       Date:  2019-06-15       Impact factor: 2.524

3.  Multiparametric Monitoring in Equatorian Tomato Greenhouses (III): Environmental Measurement Dynamics.

Authors:  Mayra Erazo-Rodas; Mary Sandoval-Moreno; Sergio Muñoz-Romero; Mónica Huerta; David Rivas-Lalaleo; José Luis Rojo-Álvarez
Journal:  Sensors (Basel)       Date:  2018-08-04       Impact factor: 3.576

  3 in total

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