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  • Henriksson, MikaelLund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH (author)

Model-based Assessment of f-Wave Signal Quality in Patients with Atrial Fibrillation

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018

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  • LIBRIS-ID:oai:lup.lub.lu.se:a53ff8ba-e0c3-4cdf-9186-4018ae54aaa0
  • https://lup.lub.lu.se/record/a53ff8ba-e0c3-4cdf-9186-4018ae54aaa0URI
  • https://doi.org/10.1109/TBME.2018.2810508DOI

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  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Objective: The detection and analysis of atrial fibrillation (AF) in the ECG is greatly influenced by signal quality. The present study proposes and evaluates a model-based f-wave signal quality index (SQI), denoted S, for use in the QRST-cancelled ECG signal. Methods: S is computed using a harmonic f-wave model, allowing for variation in frequency and amplitude. The properties of S are evaluated on both f-waves and P-waves using 378 12-lead ECGs, 1875 single-lead ECGs, and simulated signals. Results: S decreases monotonically when noise is added to f-wave signals, even for noise which overlaps spectrally with f-waves. Moreover, S is shown to be closely associated with the accuracy of AF frequency estimation, where S>0.3 implies accurate estimation. When S is used as a measure of f-wave presence, AF detection performance improves: the sensitivity increases from 97.0% to 98.1% and the specificity increases from 97.4% to 97.8% when compared to the reference detector. Conclusion: The proposed SQI represents a novel approach to assessing f-wave signal quality, as well as to determining whether f-waves are present. Significance: The use of S improves the detection of AF and benefits the analysis of noisy ECGs.

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  • Petrenas, AndriusKaunas University of Technology (author)
  • Marozas, VaidotasKaunas University of Technology (author)
  • Sandberg, FridaLund University,Lunds universitet,Electrocardiology Research Group - CIEL,Forskargrupper vid Lunds universitet,Lund University Research Groups(Swepub:lu)es-fni (author)
  • Sornmo, LeifLund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)tde-lso (author)
  • Avdelningen för Biomedicinsk teknikInstitutionen för biomedicinsk teknik (creator_code:org_t)

Related titles

  • In:IEEE Transactions on Biomedical Engineering65:11, s. 2600-26111558-2531

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