Literature DB >> 8682531

A new method for analysis of atrial activation during chronic atrial fibrillation in man.

M Holm1, R Johansson, S B Olsson, J Brandt, C Lührs.   

Abstract

To further clarify the mechanisms maintaining chronic atrial fibrillation (CAF), a method identifying preferable activation patterns of the atria during fibrillation, by time averaging of multiple discrete excitation vectors, was developed. Repeated recordings, each of 56 atrial bipolar electrograms simultaneously acquired during 8 s, were made at multiple sites in the right atrial free wall and the left atrial appendage in 16 patients with CAF using a 2.17 x 3.54 cm electrode array. The local activation times (LAT's) in each recording were estimated as the median activation time at the respective measurement point. By calculating the time difference between the LAT's at adjacent measurement points in two spatial dimensions, a direction vector was created for each activation wave passing each set of measurement points, a total of 42 sets. By time averaging of the individual direction vectors (typically n = 55) at each set of measurement points, preferable activation patterns were determined. Three types of activation patterns were found: 1) inconsistent activation (n = 5), 2) consistent activation with preferential propagation directions (n = 7) and 3) consistent activation with impulses originating from a localizable site within the recording area (n = 4). All activation patterns were reproducible and the two latter patterns were proven significant using statistical tests. We conclude that this new method is useful in further clarification of the mechanisms involved in the maintenance of atrial fibrillation.

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Year:  1996        PMID: 8682531     DOI: 10.1109/10.481989

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation.

Authors:  L Faes; G Nollo; M Kirchner; E Olivetti; F Gaita; R Riccardi; R Antolini
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

2.  Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

Authors:  C D Cantwell; C H Roney; F S Ng; J H Siggers; S J Sherwin; N S Peters
Journal:  Comput Biol Med       Date:  2015-04-25       Impact factor: 4.589

3.  A Divergence-Based Approach for the Identification of Atrial Fibrillation Focal Drivers From Multipolar Mapping: A Computational Study.

Authors:  Michela Masè; Alessandro Cristoforetti; Maurizio Del Greco; Flavia Ravelli
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

4.  Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation.

Authors:  Yann Prudat; Adrian Luca; Sasan Yazdani; Nicolas Derval; Pierre Jaïs; Laurent Roten; Benjamin Berte; Etienne Pruvot; Jean-Marc Vesin; Patrizio Pascale
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-28       Impact factor: 3.298

5.  Prediction of sinus rhythm maintenance following DC-cardioversion of persistent atrial fibrillation - the role of atrial cycle length.

Authors:  Carl J Meurling; Anders Roijer; Johan E P Waktare; Fredrik Holmqvist; Carl J Lindholm; Max P Ingemansson; Jonas Carlson; Martin Stridh; Leif Sörnmo; S Bertil Olsson
Journal:  BMC Cardiovasc Disord       Date:  2006-03-13       Impact factor: 2.298

  5 in total

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