Literature DB >> 19563359

Manifestation of left atrial events and interatrial frequency gradients in the surface electrocardiogram during atrial fibrillation: contributions from posterior leads.

Simona Petrutiu1, Alan V Sahakian, Westby Fisher, Steven Swiryn.   

Abstract

BACKGROUND: In most patients, atrial fibrillation (AF) is initiated and maintained by pulmonary vein foci, but the relationship between left atrial (LA) events and the surface electrocardiogram (ECG) is largely unknown. We investigated whether LA events are reflected in the surface ECG and whether additional information can be obtained from recording posterior leads in patients with AF. METHODS AND
RESULTS: In 10 patients undergoing radiofrequency ablation of AF, we identified 103 5-second segments with a significant frequency gradient between right (RA) and left (LA) intraatrial electrograms, or with frequency changes from segment to segment in the same patient. QRS-T cancellation methods were used to isolate atrial activity in the surface ECG and peak frequencies were computed. Peak frequencies of different posterior leads were very similar (6.0 +/- 1.3 Hz for V10, 6.0 +/- 0.9 Hz for V9, 5.9 +/- 1.4 Hz for V8, 6.0 +/- 1.3 Hz for V7). We found a strong correlation between V1 and RA and between V9 and LA, 0.89 and 0.88, respectively, while the lowest correlation was found between lead V1 and LA, 0.62, P < 0.0001. Magnitude-squared coherence values were highest between V1 and RA and between V9 and LA.
CONCLUSION: We have demonstrated that, by recording additional surface ECG leads from posterior locations, RA and LA electrical events and interatrial frequency gradients can be monitored noninvasively.

Entities:  

Mesh:

Year:  2009        PMID: 19563359     DOI: 10.1111/j.1540-8167.2009.01523.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  9 in total

1.  Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping.

Authors:  Maria S Guillem; Andreu M Climent; Jose Millet; Ángel Arenal; Francisco Fernández-Avilés; José Jalife; Felipe Atienza; Omer Berenfeld
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-26

2.  Noninvasive Imaging of High-Frequency Drivers and Reconstruction of Global Dominant Frequency Maps in Patients With Paroxysmal and Persistent Atrial Fibrillation.

Authors:  Zhaoye Zhou; Qi Jin; Lin Yee Chen; Long Yu; Liqun Wu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-04-13       Impact factor: 4.538

3.  Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial Fibrillation.

Authors:  Jorge Pedrón-Torrecilla; Miguel Rodrigo; Andreu M Climent; Alejandro Liberos; Esther Pérez-David; Javier Bermejo; Ángel Arenal; José Millet; Francisco Fernández-Avilés; Omer Berenfeld; Felipe Atienza; María S Guillem
Journal:  J Cardiovasc Electrophysiol       Date:  2016-02-26

4.  Non-Invasive Estimation Of Left Atrial Dominant Frequency In Atrial Fibrillation From Different Electrode Sites: Insight From Body Surface Potential Mapping.

Authors:  Marjan Bojarnejad; James R Blake; John Bourke; Ewan Shepherd; Alan Murray; Philip Langley
Journal:  J Atr Fibrillation       Date:  2014-10-31

5.  Principal component analysis of atrial fibrillation: inclusion of posterior ECG leads does not improve correlation with left atrial activity.

Authors:  Daniel Raine; Philip Langley; Ewen Shepherd; Stephen Lord; Stephen Murray; Alan Murray; John P Bourke
Journal:  Med Eng Phys       Date:  2015-01-22       Impact factor: 2.242

6.  Noninvasive Assessment of Atrial Fibrillation Complexity in Relation to Ablation Characteristics and Outcome.

Authors:  Marianna Meo; Thomas Pambrun; Nicolas Derval; Carole Dumas-Pomier; Stéphane Puyo; Josselin Duchâteau; Pierre Jaïs; Mélèze Hocini; Michel Haïssaguerre; Rémi Dubois
Journal:  Front Physiol       Date:  2018-07-17       Impact factor: 4.566

Review 7.  Identifying Atrial Fibrillation Mechanisms for Personalized Medicine.

Authors:  Brototo Deb; Prasanth Ganesan; Ruibin Feng; Sanjiv M Narayan
Journal:  J Clin Med       Date:  2021-12-01       Impact factor: 4.241

8.  Novel spatiotemporal processing tools for body-surface potential map signals for the prediction of catheter ablation outcome in persistent atrial fibrillation.

Authors:  Anna McCann; Adrian Luca; Patrizio Pascale; Etienne Pruvot; Jean-Marc Vesin
Journal:  Front Physiol       Date:  2022-09-29       Impact factor: 4.755

9.  Ability of magnetocardiography to detect regional dominant frequencies of atrial fibrillation.

Authors:  Kentaro Yoshida; Kuniomi Ogata; Takeshi Inaba; Yoko Nakazawa; Yoko Ito; Iwao Yamaguchi; Akihiko Kandori; Kazutaka Aonuma
Journal:  J Arrhythm       Date:  2015-06-09
  9 in total

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