Literature DB >> 22651809

Spatial pattern of P waves in paroxysmal atrial fibrillation patients in sinus rhythm and controls.

Daniele Giacopelli1, John P Bourke, Alan Murray, Philip Langley.   

Abstract

BACKGROUND: Measuring body surface potentials in the assessment of the electrical activity of the heart is the most commonly used noninvasive method for diagnosing cardiac arrhythmias. Paroxysmal atrial fibrillation (PAF) patients have disturbed cardiac electrophysiology but the detailed characteristics of atrial activation on the body surface are unknown.
METHODS: P waves from 60 sites on the body surface were analyzed from 10 PAF patients in sinus rhythm (PAF group) and 10 healthy controls (HC group). Evolution of atrial depolarization was described qualitatively by maps of P-wave amplitudes. P-wave dipole evolution was described quantitatively by measuring the changing location (body site) and amplitude of the dipole positive and negative pole peaks.
RESULTS: Both groups exhibited similar dipolar structure with an area of positive and an area of negative potentials. Over the depolarization cycle, there were significant changes in the location of the dipole with the positive pole rotating anteriorly right to left by two electrode sites (10 cm) (P = 0.001). There were significant differences between groups with the positive pole in PAF offset to the right of the chest by 0.43 (0.38) strips compared to HC (P < 0.007). Compared to controls, the PAF group positive poles reached peak amplitude sooner (49 [11] ms vs 65 [14] ms, P = 0.012) and negative poles reached peak amplitude later (74 [13] ms vs 62 [8] ms, P = 0.019).
CONCLUSION: Atrial depolarization is characterized by a single dipole with time-varying amplitude and orientation with significant differences in dipole trajectory between patients with PAF and HCs. ©2012, The Authors. Journal compilation ©2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22651809     DOI: 10.1111/j.1540-8159.2012.03428.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  3 in total

1.  A new algorithm to diagnose atrial ectopic origin from multi lead ECG systems--insights from 3D virtual human atria and torso.

Authors:  Erick A Perez Alday; Michael A Colman; Philip Langley; Timothy D Butters; Jonathan Higham; Antony J Workman; Jules C Hancox; Henggui Zhang
Journal:  PLoS Comput Biol       Date:  2015-01-22       Impact factor: 4.475

2.  Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps.

Authors:  Ana Ferrer-Albero; Eduardo J Godoy; Miguel Lozano; Laura Martínez-Mateu; Felipe Atienza; Javier Saiz; Rafael Sebastian
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

3.  Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study.

Authors:  Erick A Perez Alday; Michael A Colman; Philip Langley; Henggui Zhang
Journal:  PLoS Comput Biol       Date:  2017-03-02       Impact factor: 4.475

  3 in total

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