Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG

Objective: This study proposes a reference database, composed of a large number of simulated ECG signals in atrial fibrillation (AF), for investigating the performance of methods for extraction of atrial fibrillatory waves (f-waves). Approach: The simulated signals are produced using a recently publ...

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Bibliographic Details
Published in:Physiological measurement 2019-08, Vol.40 (7), p.075011-075011
Main Authors: Alcaraz, Raúl, Sörnmo, Leif, Rieta, José J
Format: Article
Language:English
Subjects:
atrial fibrillation
Atrial Fibrillation - physiopathology
Databases, Factual
Electrocardiography - standards
fibrillatory wave extraction
Humans
performance evaluation
reference ECG database
Reference Standards
Signal Processing, Computer-Assisted
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Summary:Objective: This study proposes a reference database, composed of a large number of simulated ECG signals in atrial fibrillation (AF), for investigating the performance of methods for extraction of atrial fibrillatory waves (f-waves). Approach: The simulated signals are produced using a recently published and validated model of 12-lead ECGs in AF. The database is composed of eight signal sets together accounting for a wide range of characteristics known to represent major challenges in f-wave extraction, including high heart rates, high morphological QRST variability, and the presence of ventricular premature beats. Each set contains 30 5 min signals with different f-wave amplitudes. The database is used for the purpose of investigating the statistical association between different indices, designed for use with either real or simulated signals. Main results: Using the database, available at the PhysioNet repository of physiological signals, the performance indices unnormalized ventricular residue (uVR), designed for real signals, and the root mean square error, designed for simulated signals, were found to exhibit the strongest association, leading to the recommendation that uVR should be used when characterizing performance in real signals. Significance: The proposed database facilitates comparison of the performance of different f-wave extraction methods and makes it possible to express performance in terms of the error between simulated and extracted f-wave signals.
ISSN:0967-3334
1361-6579
1361-6579
DOI:10.1088/1361-6579/ab2b17