Atrial fibrillation frequency tracking in ambulatory ECG signals : The significance of signal quality assessment
(2018) In Computers in Biology and Medicine 102. p.227-233- 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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- author
- Paliakaitė, Birutė ; Petrėnas, Andrius ; Henriksson, Mikael LU ; Skibarkienė, Jurgita ; Kubilius, Raimondas ; Sörnmo, Leif LU and Marozas, Vaidotas
- organization
- publishing date
- 2018-01-01
- type
- Contribution to journal
- publication status
- published
- 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
- volume
- 102
- pages
- 227 - 233
- publisher
- Elsevier
- external identifiers
-
- pmid:30236913
- 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
- 2024-08-20 02:13:21
@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}}, keywords = {{Dominant atrial frequency; Echo state network; f-wave extraction; Physical activity; Rehabilitation; Signal quality index; Single frequency tracker}}, language = {{eng}}, month = {{01}}, pages = {{227--233}}, 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}}, doi = {{10.1016/j.compbiomed.2018.08.027}}, volume = {{102}}, year = {{2018}}, }