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Time‐Domain and Morphological Analysis of the P‐Wave. Part I: Technical Aspects for Automatic Quantification of P‐Wave Features
Author(s) -
CENSI FEDERICA,
RICCI CHIARA,
CALCAGNINI GIOVANNI,
TRIVENTI MICHELE,
RICCI RENATO P.,
SANTINI MASSIMO,
BARTOLINI PIETRO
Publication year - 2008
Publication title -
pacing and clinical electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 101
eISSN - 1540-8159
pISSN - 0147-8389
DOI - 10.1111/j.1540-8159.2008.01102.x
Subject(s) - preprocessor , duration (music) , pattern recognition (psychology) , p wave , time domain , algorithm , domain (mathematical analysis) , morphological analysis , image (mathematics) , medicine , artificial intelligence , computer science , atrial fibrillation , mathematics , acoustics , computer vision , physics , mathematical analysis
Introduction: Time‐domain and morphological analysis of P‐wave from surface electrocardiogram has been extensively used to identify patients prone to atrial arrhythmias, especially atrial fibrillation (AF). However, since no standard procedure exists for P‐wave preprocessing, standardization of cut‐off values for P‐wave duration and morphological features is difficult. This study is a methodological investigation of P‐wave preprocessing procedures for automatic time‐domain and morphological analysis.Methods: We compared, on simulated and real data, the P‐wave template obtained applying three alignment algorithms with that obtained without alignment, in terms of template error, shift error, P‐wave duration, and morphological parameters. We also proposed automatic algorithms for estimation of P‐wave duration.Results: We found that alignment is necessary for a reliable extraction of P‐wave template by the averaging procedure, in order to perform time‐domain and morphological analysis. On simulated and real data, the error on P‐wave duration can be as high as 30 ms on a template obtained without alignment; if alignment procedure is performed, the error on P‐wave duration is negligible. Analogously, morphological features are correctly estimated only on a P‐wave template obtained with P‐waves alignment. We also found that the proposed algorithm for the automatic estimation of the P‐wave duration gave reliable results.