Abstract
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, for use in the QRST-cancelled ECG signal. is computed using a harmonic f-wave model, allowing for variation in frequency and amplitude. The properties of are evaluated on both f-waves and P-waves using 378 12-lead ECGs, 1875single-lead ECGs, and simulated signals. decreases monotonically when noise is added to f-wave signals, even for noise which overlaps spectrally with f-waves. Moreover, is shown to be closely associated with the accuracy of AF frequency estimation, where implies accurate estimation. When is used as a measure of f-wave presence, AF detection performance improves: the sensitivity increases from 97.0% to98.1% and the specificity increases from 97.4% to97.8% when compared to the reference detector. The proposed SQI represents a novel approach to assessing f-wave signal quality, as well as to determining whether f-waves are present. The use of improves the detection of AF and benefits the analysis of noisy ECGs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
