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Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation
The autonomic nervous system (ANS) is an important factor in cardiac arrhythmia, and information about ANS activity during atrial fibrillation (AF) may contribute to personalized treatment. In this study we aim to quantify respiratory modulation in the f-wave frequency trend from resting ECG. First,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060635/ https://www.ncbi.nlm.nih.gov/pubmed/33897462 http://dx.doi.org/10.3389/fphys.2021.653492 |
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author | Abdollahpur, Mostafa Holmqvist, Fredrik Platonov, Pyotr G. Sandberg, Frida |
author_facet | Abdollahpur, Mostafa Holmqvist, Fredrik Platonov, Pyotr G. Sandberg, Frida |
author_sort | Abdollahpur, Mostafa |
collection | PubMed |
description | The autonomic nervous system (ANS) is an important factor in cardiac arrhythmia, and information about ANS activity during atrial fibrillation (AF) may contribute to personalized treatment. In this study we aim to quantify respiratory modulation in the f-wave frequency trend from resting ECG. First, an f-wave signal is extracted from the ECG by QRST cancelation. Second, an f-wave model is fitted to the f-wave signal to obtain a high resolution f-wave frequency trend and an index for signal quality control ([Formula: see text]). Third, respiratory modulation in the f-wave frequency trend is extracted by applying a narrow band-pass filter. The center frequency of the band-pass filter is determined by the respiration rate. Respiration rate is estimated from a surrogate respiration signal, obtained from the ECG using homomorphic filtering. Peak conditioned spectral averaging, where spectra of sufficient quality from different leads are averaged, is employed to obtain a robust estimate of the respiration rate. The envelope of the filtered f-wave frequency trend is used to quantify the magnitude of respiratory induced f-wave frequency modulation. The proposed methodology is evaluated using simulated f-wave signals obtained using a sinusoidal harmonic model. Results from simulated signals show that the magnitude of the respiratory modulation is accurately estimated, quantified by an error below 0.01 Hz, if the signal quality is sufficient ([Formula: see text]). The proposed method was applied to analyze ECG data from eight pacemaker patients with permanent AF recorded at baseline, during controlled respiration, and during controlled respiration after injection of atropine, respectively. The magnitude of the respiratory induce f-wave frequency modulation was 0.15 ± 0.01, 0.18 ± 0.02, and 0.17 ± 0.03 Hz during baseline, controlled respiration, and post-atropine, respectively. Our results suggest that parasympathetic regulation affects the magnitude of respiratory induced f-wave frequency modulation. |
format | Online Article Text |
id | pubmed-8060635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80606352021-04-23 Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation Abdollahpur, Mostafa Holmqvist, Fredrik Platonov, Pyotr G. Sandberg, Frida Front Physiol Physiology The autonomic nervous system (ANS) is an important factor in cardiac arrhythmia, and information about ANS activity during atrial fibrillation (AF) may contribute to personalized treatment. In this study we aim to quantify respiratory modulation in the f-wave frequency trend from resting ECG. First, an f-wave signal is extracted from the ECG by QRST cancelation. Second, an f-wave model is fitted to the f-wave signal to obtain a high resolution f-wave frequency trend and an index for signal quality control ([Formula: see text]). Third, respiratory modulation in the f-wave frequency trend is extracted by applying a narrow band-pass filter. The center frequency of the band-pass filter is determined by the respiration rate. Respiration rate is estimated from a surrogate respiration signal, obtained from the ECG using homomorphic filtering. Peak conditioned spectral averaging, where spectra of sufficient quality from different leads are averaged, is employed to obtain a robust estimate of the respiration rate. The envelope of the filtered f-wave frequency trend is used to quantify the magnitude of respiratory induced f-wave frequency modulation. The proposed methodology is evaluated using simulated f-wave signals obtained using a sinusoidal harmonic model. Results from simulated signals show that the magnitude of the respiratory modulation is accurately estimated, quantified by an error below 0.01 Hz, if the signal quality is sufficient ([Formula: see text]). The proposed method was applied to analyze ECG data from eight pacemaker patients with permanent AF recorded at baseline, during controlled respiration, and during controlled respiration after injection of atropine, respectively. The magnitude of the respiratory induce f-wave frequency modulation was 0.15 ± 0.01, 0.18 ± 0.02, and 0.17 ± 0.03 Hz during baseline, controlled respiration, and post-atropine, respectively. Our results suggest that parasympathetic regulation affects the magnitude of respiratory induced f-wave frequency modulation. Frontiers Media S.A. 2021-04-08 /pmc/articles/PMC8060635/ /pubmed/33897462 http://dx.doi.org/10.3389/fphys.2021.653492 Text en Copyright © 2021 Abdollahpur, Holmqvist, Platonov and Sandberg. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Physiology Abdollahpur, Mostafa Holmqvist, Fredrik Platonov, Pyotr G. Sandberg, Frida Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title | Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title_full | Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title_fullStr | Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title_full_unstemmed | Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title_short | Respiratory Induced Modulation in f-Wave Characteristics During Atrial Fibrillation |
title_sort | respiratory induced modulation in f-wave characteristics during atrial fibrillation |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060635/ https://www.ncbi.nlm.nih.gov/pubmed/33897462 http://dx.doi.org/10.3389/fphys.2021.653492 |
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