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Atrial fibrillation frequency tracking in ambulatory ECG signals : The significance of signal quality assessment

Paliakaitė, Birutė; Petrėnas, Andrius; Henriksson, Mikael LU ; Skibarkienė, Jurgita; Kubilius, Raimondas; Sörnmo, Leif LU and Marozas, Vaidotas (2018) In Computers in Biology and Medicine
Abstract

An approach to atrial fibrillation (AF) frequency tracking in long-term ambulatory ECG recordings is presented, comprising f-wave extraction, dominant atrial frequency (DAF) tracking, and signal quality assessment. Since poor signal quality is commonly encountered in ambulatory monitoring, a recently proposed index is employed to assess f-wave signal quality in a database containing 38 patients with permanent AF. The index ensures that DAF outliers, typically associated with poor-quality segments, are excluded from further analysis. 40% of all 5-s signal segments were excluded from the database due to poor quality. The exclusion of DAF outliers significantly reduces the standard deviation of the frequency estimates (p≤0.01), allowing... (More)

An approach to atrial fibrillation (AF) frequency tracking in long-term ambulatory ECG recordings is presented, comprising f-wave extraction, dominant atrial frequency (DAF) tracking, and signal quality assessment. Since poor signal quality is commonly encountered in ambulatory monitoring, a recently proposed index is employed to assess f-wave signal quality in a database containing 38 patients with permanent AF. The index ensures that DAF outliers, typically associated with poor-quality segments, are excluded from further analysis. 40% of all 5-s signal segments were excluded from the database due to poor quality. The exclusion of DAF outliers significantly reduces the standard deviation of the frequency estimates (p≤0.01), allowing more reliable evaluation of the difference between day- and night-time DAF. The results show that signal quality assessment plays a central role in DAF tracking, and therefore should be employed in ambulatory monitoring.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
in press
subject
keywords
Dominant atrial frequency, Echo state network, f-wave extraction, Physical activity, Rehabilitation, Signal quality index, Single frequency tracker
in
Computers in Biology and Medicine
publisher
Elsevier
external identifiers
  • scopus:85053712822
ISSN
0010-4825
DOI
10.1016/j.compbiomed.2018.08.027
language
English
LU publication?
yes
id
7dbebc5f-e78b-4d85-b816-e1d2de789bd9
date added to LUP
2018-10-23 12:28:30
date last changed
2018-10-24 03:00:05
@article{7dbebc5f-e78b-4d85-b816-e1d2de789bd9,
  abstract     = {<p>An approach to atrial fibrillation (AF) frequency tracking in long-term ambulatory ECG recordings is presented, comprising f-wave extraction, dominant atrial frequency (DAF) tracking, and signal quality assessment. Since poor signal quality is commonly encountered in ambulatory monitoring, a recently proposed index is employed to assess f-wave signal quality in a database containing 38 patients with permanent AF. The index ensures that DAF outliers, typically associated with poor-quality segments, are excluded from further analysis. 40% of all 5-s signal segments were excluded from the database due to poor quality. The exclusion of DAF outliers significantly reduces the standard deviation of the frequency estimates (p≤0.01), allowing more reliable evaluation of the difference between day- and night-time DAF. The results show that signal quality assessment plays a central role in DAF tracking, and therefore should be employed in ambulatory monitoring.</p>},
  author       = {Paliakaitė, Birutė and Petrėnas, Andrius and Henriksson, Mikael and Skibarkienė, Jurgita and Kubilius, Raimondas and Sörnmo, Leif and Marozas, Vaidotas},
  issn         = {0010-4825},
  keyword      = {Dominant atrial frequency,Echo state network,f-wave extraction,Physical activity,Rehabilitation,Signal quality index,Single frequency tracker},
  language     = {eng},
  month        = {01},
  publisher    = {Elsevier},
  series       = {Computers in Biology and Medicine},
  title        = {Atrial fibrillation frequency tracking in ambulatory ECG signals : The significance of signal quality assessment},
  url          = {http://dx.doi.org/10.1016/j.compbiomed.2018.08.027},
  year         = {2018},
}