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Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data

Saiz-Vivo, Javier ; Abdollahpur, Mostafa LU ; Mainardi, Luca T. ; Corino, Valentina D.A. ; De Melis, Mirko and Sandberg, Frida LU (2021) 2021 Computing in Cardiology, CinC 2021 In Computing in Cardiology 48.
Abstract

The aim of this study is to characterize atrial fibrillatory rate (AFR) extracted from a cohort of continuously monitored atrial fibrillation (AF) patients as function of episode duration and onset time. The f-wave signal used to compute the AFR was extracted from a single lead ECG strip of the AF episodes stored in an Implantable Cardiac Monitor (ICM) in a cohort of 99 patients. The f-wave signals were obtained from 1400 AF episodes using a spatiotemporal QRST cancellation process and the AFR was estimated as the fundamental frequency of a model fitted to the extracted f-waves. We studied the relationship between AFR and episode duration and episode onset time, respectively. AFR (median (interquartile range)) was significantly lower... (More)

The aim of this study is to characterize atrial fibrillatory rate (AFR) extracted from a cohort of continuously monitored atrial fibrillation (AF) patients as function of episode duration and onset time. The f-wave signal used to compute the AFR was extracted from a single lead ECG strip of the AF episodes stored in an Implantable Cardiac Monitor (ICM) in a cohort of 99 patients. The f-wave signals were obtained from 1400 AF episodes using a spatiotemporal QRST cancellation process and the AFR was estimated as the fundamental frequency of a model fitted to the extracted f-waves. We studied the relationship between AFR and episode duration and episode onset time, respectively. AFR (median (interquartile range)) was significantly lower (p-value<0.05) in short episodes (<20 min) (5.15 (0.66) Hz) than in longer episodes (5.30 (0.74) Hz). AFR was significantly higher for episodes with onset time at night (00-06) (5.34 (0.82) Hz) than for episodes with onset during the day (10-20) (5.21 (0.70) Hz). Significant differences were also found between the relative AFR (ratio between the AFR and the average AFR of the patient) and episode duration (Short: 99.2 (9.3) %; Long: 100.0 (8.9) %). Data extracted from ICMs shows that that nighttime AF onset and longer duration AF episodes are more common in patients with higher AFR.

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author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2021 Computing in Cardiology, CinC 2021
series title
Computing in Cardiology
volume
48
pages
4 pages
publisher
IEEE Computer Society
conference name
2021 Computing in Cardiology, CinC 2021
conference location
Brno, Czech Republic
conference dates
2021-09-13 - 2021-09-15
external identifiers
  • scopus:85124733438
ISSN
2325-887X
2325-8861
ISBN
9781665479165
DOI
10.23919/CinC53138.2021.9662826
language
English
LU publication?
yes
additional info
Funding Information: This project is framed inside MY-ATRIA consortium. MY-ATRIA project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.766082. FS is supported by the Swedish Research Council (grant VR2019-04272) and the Crafoord Foundation (grant 20200605). Publisher Copyright: © 2021 Creative Commons.
id
d92df909-ce9f-46bc-95f4-cbc344f968db
date added to LUP
2022-03-01 12:33:19
date last changed
2024-03-21 05:43:30
@inproceedings{d92df909-ce9f-46bc-95f4-cbc344f968db,
  abstract     = {{<p>The aim of this study is to characterize atrial fibrillatory rate (AFR) extracted from a cohort of continuously monitored atrial fibrillation (AF) patients as function of episode duration and onset time. The f-wave signal used to compute the AFR was extracted from a single lead ECG strip of the AF episodes stored in an Implantable Cardiac Monitor (ICM) in a cohort of 99 patients. The f-wave signals were obtained from 1400 AF episodes using a spatiotemporal QRST cancellation process and the AFR was estimated as the fundamental frequency of a model fitted to the extracted f-waves. We studied the relationship between AFR and episode duration and episode onset time, respectively. AFR (median (interquartile range)) was significantly lower (p-value&lt;0.05) in short episodes (&lt;20 min) (5.15 (0.66) Hz) than in longer episodes (5.30 (0.74) Hz). AFR was significantly higher for episodes with onset time at night (00-06) (5.34 (0.82) Hz) than for episodes with onset during the day (10-20) (5.21 (0.70) Hz). Significant differences were also found between the relative AFR (ratio between the AFR and the average AFR of the patient) and episode duration (Short: 99.2 (9.3) %; Long: 100.0 (8.9) %). Data extracted from ICMs shows that that nighttime AF onset and longer duration AF episodes are more common in patients with higher AFR. </p>}},
  author       = {{Saiz-Vivo, Javier and Abdollahpur, Mostafa and Mainardi, Luca T. and Corino, Valentina D.A. and De Melis, Mirko and Sandberg, Frida}},
  booktitle    = {{2021 Computing in Cardiology, CinC 2021}},
  isbn         = {{9781665479165}},
  issn         = {{2325-887X}},
  language     = {{eng}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Computing in Cardiology}},
  title        = {{Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data}},
  url          = {{http://dx.doi.org/10.23919/CinC53138.2021.9662826}},
  doi          = {{10.23919/CinC53138.2021.9662826}},
  volume       = {{48}},
  year         = {{2021}},
}