Literature DB >> 20595079

Wave-direction and conduction-velocity analysis from intracardiac electrograms--a single-shot technique.

Frank M Weber1, Christopher Schilling, Gunnar Seemann, Armin Luik, Claus Schmitt, Cristian Lorenz, Olaf Dössel.   

Abstract

Atrial arrhythmias, such as atrial flutter or fibrillation, are frequent indications for catheter ablation. Recorded intracardiac electrograms (EGMs) are, however, mostly evaluated subjectively by the physicians. In this paper, we present a method to quantitatively extract the wave direction and the local conduction velocity from one single beat in a circular mapping catheter signal. We simulated typical clinical EGMs to validate the method. We then showed that even with noise, the average directional error was below 10(°) and the average velocity error was below 5.4 cm/s. In a realistic atrial simulation, the method could clearly distinguish between stimuli from different pulmonary veins. We further analyzed eight clinical data segments from three patients in normal sinus rhythm and with stimulation. We obtained stable wave directions for each segment and conduction velocities between 70 and 115 cm/s. We conclude that the method allows for easy quantitative analysis of single macroscopic wavefronts in intracardiac EGMs, such as during atrial flutter or in typical clinical stimulation procedures after termination of atrial fibrillation. With corresponding simulated data, it can provide an interface to personalize electrophysiological (EP) models. Furthermore, it could be integrated into EP navigation systems to provide quantitative data of high diagnostic value to the physician.

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Year:  2010        PMID: 20595079     DOI: 10.1109/TBME.2010.2055056

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


  16 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  Ccoffinn: Automated Wave Tracking in Cultured Cardiac Monolayers.

Authors:  Jakub Tomek; Rebecca A B Burton; Gil Bub
Journal:  Biophys J       Date:  2016-10-18       Impact factor: 4.033

3.  Controlled Activation for Interrogation of the Electrophysiological Substrate.

Authors:  Joshua Je Blauer; Fred Han; Ravi Ranjan; Nassir F Marrouche; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2014-09-09

4.  Automated conduction velocity estimation based on isochronal activation of heart chambers.

Authors:  Michela Santurri; Jennifer Bonga; Maurizio Schmid; Filippo Maria Cauti; Francesco Solimene; Marco Polselli; Mauro Bura; Francesco Piccolo; Maurizio Malacrida; Gemma Pelargonio; Francesco Raffaele Spera; Stefano Bianchi; Pietro Rossi
Journal:  J Interv Card Electrophysiol       Date:  2022-09-30       Impact factor: 1.759

Review 5.  Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?

Authors:  Steven A Niederer; Nic P Smith
Journal:  J Physiol       Date:  2016-07-03       Impact factor: 5.182

6.  Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology.

Authors:  Martin W Krueger; Walther H W Schulze; Kawal S Rhode; Reza Razavi; Gunnar Seemann; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2012-10-16       Impact factor: 2.602

7.  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

8.  An Uncertainty Modeling Framework for Intracardiac Electrogram Analysis.

Authors:  Amirhossein Koneshloo; Dongping Du; Yuncheng Du
Journal:  Bioengineering (Basel)       Date:  2020-06-26

9.  Iterative navigation of multipole diagnostic catheters to locate repeating-pattern atrial fibrillation drivers.

Authors:  Prasanth Ganesan; Anthony Salmin; Elizabeth M Cherry; David T Huang; Arkady M Pertsov; Behnaz Ghoraani
Journal:  J Cardiovasc Electrophysiol       Date:  2019-02-11

10.  Patient-Specific Identification of Atrial Flutter Vulnerability-A Computational Approach to Reveal Latent Reentry Pathways.

Authors:  Axel Loewe; Emanuel Poremba; Tobias Oesterlein; Armin Luik; Claus Schmitt; Gunnar Seemann; Olaf Dössel
Journal:  Front Physiol       Date:  2019-01-14       Impact factor: 4.566

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