Literature DB >> 27411215

Orientation-Independent Catheter-Based Characterization of Myocardial Activation.

Don Curtis Deno, Ram Balachandran, Dennis Morgan, Faiz Ahmad, Stephane Masse, Kumaraswamy Nanthakumar.   

Abstract

Cardiac electrogram (EGM) signals and electrophysiologic (EP) characteristics derived from them such as amplitude and timing are central to the diagnosis and therapeutic management of arrhythmias. Bipolar EGMs are often used but possess polarity and shape dependence on catheter orientation contributing to uncertainty.
OBJECTIVE: We describe a novel method to map cardiac activation that resolves signals into meaningful directions and is insensitive to electrode directional effects.
METHODS: Multielectrode catheters that span 2- and 3-D space are used to derive local electric field (E-field) signals. A traveling wave model of local EGM propagation motivates a new "omnipolar" reference frame in which to understand EGM E-field signals and provide bipolar component EGMs aligned with these anatomic and physiologic directions. We validate the basis of this technology and determine its accuracy using a saline tank in which we simulate physiologic propagation.
RESULTS: Omnipole signals from healthy tissue are nearly free of catheter orientation effects and are constrained by biophysics to consistent morphologies and thus consistent measured amplitudes and timings. Using a 3-D EP mapping system, traveling wave treatment, and omnipolar technology (OT) E-field loops, we derived a new and nearly instantaneous means to determine conduction velocity and activation direction.
CONCLUSION: We describe the basis of OT and validate it with ablation and mapping catheters in a saline tank. Finally, we illustrate OT with signals from live subjects. SIGNIFICANCE: OT's novel approach with signal processing and real-time visualization allows for a newly detailed characterization of myocardial activation that is insensitive to catheter orientation.

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Year:  2016        PMID: 27411215     DOI: 10.1109/TBME.2016.2589158

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


  21 in total

1.  Mechanism and magnitude of bipolar electrogram directional sensitivity: Characterizing underlying determinants of bipolar amplitude.

Authors:  Stephen Gaeta; Tristram D Bahnson; Craig Henriquez
Journal:  Heart Rhythm       Date:  2019-12-13       Impact factor: 6.343

Review 2.  Novel Mapping Strategies for Ventricular Tachycardia Ablation.

Authors:  Zaid Aziz; Roderick Tung
Journal:  Curr Treat Options Cardiovasc Med       Date:  2018-03-23

Review 3.  Clinical Relevance of Sinus Rhythm Mapping to Quantify Electropathology Related to Atrial Fibrillation.

Authors:  Mathijs S van Schie; Natasja Ms de Groot
Journal:  Arrhythm Electrophysiol Rev       Date:  2022-04

4.  Conceptual Intra-Cardiac Electrode Configurations That Facilitate Directional Cardiac Stimulation for Optimal Electrotherapy.

Authors:  Adam Connolly; Steven Williams; Kawal Rhode; Christopher A Rinaldi; Martin J Bishop
Journal:  IEEE Trans Biomed Eng       Date:  2019-05       Impact factor: 4.538

5.  OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research.

Authors:  Steven E Williams; Caroline H Roney; Adam Connolly; Iain Sim; John Whitaker; Daniel O'Hare; Irum Kotadia; Louisa O'Neill; Cesare Corrado; Martin Bishop; Steven A Niederer; Matt Wright; Mark O'Neill; Nick W F Linton
Journal:  Front Physiol       Date:  2021-02-26       Impact factor: 4.566

6.  Resolving Myocardial Activation With Novel Omnipolar Electrograms.

Authors:  Stéphane Massé; Karl Magtibay; Nicholas Jackson; John Asta; Marjan Kusha; Boyang Zhang; Ram Balachandran; Milica Radisic; D Curtis Deno; Kumaraswamy Nanthakumar
Journal:  Circ Arrhythm Electrophysiol       Date:  2016-07

Review 7.  Substrate Mapping and Ablation for Ventricular Tachycardia in Patients with Structural Heart Disease: How to Identify Ventricular Tachycardia Substrate.

Authors:  Takeshi Kitamura; Claire A Martin; Konstantinos Vlachos; Ruairidh Martin; Antonio Frontera; Masateru Takigawa; Nathaniel Thompson; Ghassen Cheniti; Gregoire Massouille; Anna Lam; Felix Bourier; Josselin Duchateau; Thomas Pambrun; Arnaud Denis; Nicolas Derval; Meleze Hocini; Michel HaÏssaguerre; Hubert Cochet; Pierre JaÏs; Frédéric Sacher
Journal:  J Innov Card Rhythm Manag       Date:  2019-03-15

8.  Identification of Low-Voltage Areas: A Unipolar, Bipolar, and Omnipolar Perspective.

Authors:  Mathijs S van Schie; Rohit K Kharbanda; Charlotte A Houck; Eva A H Lanters; Yannick J H J Taverne; Ad J J C Bogers; Natasja M S de Groot
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-06-18

9.  Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.

Authors:  Jorge Sánchez; Giorgio Luongo; Mark Nothstein; Laura A Unger; Javier Saiz; Beatriz Trenor; Armin Luik; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

10.  Physiological Assessment of Ventricular Myocardial Voltage Using Omnipolar Electrograms.

Authors:  Karl Magtibay; Stéphane Massé; John Asta; Marjan Kusha; Patrick F H Lai; Mohammed Ali Azam; Andreu Porta-Sanchez; Shouvik Haldar; Daniel Malebranche; Christopher Labos; D Curtis Deno; Kumaraswamy Nanthakumar
Journal:  J Am Heart Assoc       Date:  2017-08-16       Impact factor: 5.501

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