Time-domain and morphological analysis of the P-wave. Part I: technical aspects for automatic quantification of P-wave features.

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-...

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Published in:Pacing & Clinical Electrophysiology Vol. 31; no. 7; pp. 874 - 884
Main Authors: Censi F, Ricci C, Calcagnini G, Triventi M, Ricci RP, Santini M, Bartolini P
Format: algorithm equations & formulas research tracings Journal Article
Published: Wiley-Blackwell Jul2008
Online Access:View this record in EBSCOhost
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      pub: Wiley-Blackwell
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        10.1111/j.1540-8159.2008.01102.x
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        atl: Time-domain and morphological analysis of the P-wave. Part I: technical aspects for automatic quantification of P-wave features.
      aug:
        au:
          Censi F
          Ricci C
          Calcagnini G
          Triventi M
          Ricci RP
          Santini M
          Bartolini P
        affil: Department of Technologies and Health, Istituto Superiore di Sanità, Rome, Italy. federica.censi@iss.it
      sug:
        subj:
          Electrocardiography Methods
          Atrial Fibrillation Diagnosis
          Electrophysiology
          Human
      ab: 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.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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