Model-based Assessment of f-Wave Signal Quality in Patients with Atrial Fibrillation
(2018) In IEEE Transactions on Biomedical Engineering 65(11). p.2600-2611- Abstract
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... (More)
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.
(Less)
- author
- Henriksson, Mikael LU ; Petrenas, Andrius ; Marozas, Vaidotas ; Sandberg, Frida LU and Sornmo, Leif LU
- organization
- publishing date
- 2018-02-27
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- AF detection, Atrial fibrillation (AF), Computational modeling, Detectors, ECG, Electrocardiography, Estimation, f-wave modeling, Frequency estimation, Harmonic analysis, Indexes, signal quality index (SQI)
- in
- IEEE Transactions on Biomedical Engineering
- volume
- 65
- issue
- 11
- pages
- 2600 - 2611
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85042875412
- pmid:29993509
- ISSN
- 1558-2531
- DOI
- 10.1109/TBME.2018.2810508
- project
- Modelling and Quality Assessment of Atrial Fibrillatory Waves
- language
- English
- LU publication?
- yes
- id
- a53ff8ba-e0c3-4cdf-9186-4018ae54aaa0
- date added to LUP
- 2018-03-16 15:21:47
- date last changed
- 2024-08-05 14:33:43
@article{a53ff8ba-e0c3-4cdf-9186-4018ae54aaa0, abstract = {{<p>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&#x003E;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.</p>}}, author = {{Henriksson, Mikael and Petrenas, Andrius and Marozas, Vaidotas and Sandberg, Frida and Sornmo, Leif}}, issn = {{1558-2531}}, keywords = {{AF detection; Atrial fibrillation (AF); Computational modeling; Detectors; ECG; Electrocardiography; Estimation; f-wave modeling; Frequency estimation; Harmonic analysis; Indexes; signal quality index (SQI)}}, language = {{eng}}, month = {{02}}, number = {{11}}, pages = {{2600--2611}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Biomedical Engineering}}, title = {{Model-based Assessment of f-Wave Signal Quality in Patients with Atrial Fibrillation}}, url = {{http://dx.doi.org/10.1109/TBME.2018.2810508}}, doi = {{10.1109/TBME.2018.2810508}}, volume = {{65}}, year = {{2018}}, }