scholarly journals Phase Singularities in Cardiac Patch Model with Non-conductive Fibrotic Area during Atrial Fibrillation

2020 ◽  
Author(s):  
Tiago Paggi de Almeida ◽  
Mark Nothstein ◽  
Xin Li ◽  
Michela Masè ◽  
Flavia Ravelli ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Patch Model ◽  
Phase Singularities ◽  
Cardiac Patch

scholarly journals Detecting phase singularities and rotor center trajectories based on the Hilbert transform of intraatrial electrograms in an atrial voxel model

2015 ◽  
Vol 1 (1) ◽  
pp. 38-41 ◽  
Author(s):  
Laura Anna Unger ◽  
Markus Rottmann ◽  
Gunnar Seemann ◽  
Olaf Dössel
Keyword(s):  
Atrial Fibrillation ◽  
Blood Volume ◽  
Hilbert Transform ◽  
Rf Ablation ◽  
Voxel Model ◽  
Rotor Center ◽  
Phase Singularities ◽  
Endocardial Surface ◽  
The Hilbert Transform ◽  
Unipolar Electrograms

AbstractThis work aimed at the detection of rotor centers within the atrial cavity during atrial fibrillation on the basis of phase singularities. A voxel based method was established which employs the Hilbert transform and the phase of unipolar electrograms. The method provides a 3D overview of phase singularities at the endocardial surface and within the blood volume. Mapping those phase singularities from the inside of the atria at the endocardium yielded rotor center trajectories. We discuss the results for an unstable and a more stable rotor. The side length of the areas covered by the trajectories varied from 1.5 mm to 10 mm. These results are important for cardiologists who target rotors with RF ablation in order to cure atrial fibrillation.

scholarly journals Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block

2017 ◽  
Author(s):  
Stef Zeemering ◽  
Piotr Podziemski ◽  
Pawel Kuklik ◽  
Arne van Hunnik ◽  
Bart Maesen ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Conduction Block ◽  
Phase Singularities

scholarly journals Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249873
Author(s):  
Ricardo Abad ◽  
Orvil Collart ◽  
Prasanth Ganesan ◽  
A. J. Rogers ◽  
Mahmood I. Alhusseini ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Three Dimensional ◽  
Spiral Waves ◽  
Patient Specific ◽  
Activation Patterns ◽  
Density Maps ◽  
Median Correlation ◽  
Geometric Curvature ◽  
Dimensional Reconstruction ◽  
Phase Singularities

Background The rotational activation created by spiral waves may be a mechanism for atrial fibrillation (AF), yet it is unclear how activation patterns obtained from endocardial baskets are influenced by the 3D geometric curvature of the atrium or ‘unfolding’ into 2D maps. We develop algorithms that can visualize spiral waves and their tip locations on curved atrial geometries. We use these algorithms to quantify differences in AF maps and spiral tip locations between 3D basket reconstructions, projection onto 3D anatomical shells and unfolded 2D surfaces. Methods We tested our algorithms in N = 20 patients in whom AF was recorded from 64-pole baskets (Abbott, CA). Phase maps were generated by non-proprietary software to identify the tips of spiral waves, indicated by phase singularities. The number and density of spiral tips were compared in patient-specific 3D shells constructed from the basket, as well as 3D maps from clinical electroanatomic mapping systems and 2D maps. Results Patients (59.4±12.7 yrs, 60% M) showed 1.7±0.8 phase singularities/patient, in whom ablation terminated AF in 11/20 patients (55%). There was no difference in the location of phase singularities, between 3D curved surfaces and 2D unfolded surfaces, with a median correlation coefficient between phase singularity density maps of 0.985 (0.978–0.990). No significant impact was noted by phase singularities location in more curved regions or relative to the basket location (p>0.1). Conclusions AF maps and phase singularities mapped by endocardial baskets are qualitatively and quantitatively similar whether calculated by 3D phase maps on patient-specific curved atrial geometries or in 2D. Phase maps on patient-specific geometries may be easier to interpret relative to critical structures for ablation planning.

scholarly journals Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype

2021 ◽  
Vol 12 ◽  
Author(s):  
Inseok Hwang ◽  
Je-Wook Park ◽  
Oh-Seok Kwon ◽  
Byounghyun Lim ◽  
Myunghee Hong ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Computational Modeling ◽  
Antiarrhythmic Drugs ◽  
Dominant Frequency ◽  
Dependent Manner ◽  
Ion Currents ◽  
Wild Type ◽  
Wave Dynamic ◽  
Phase Singularities ◽  
Dose Dependent

Background: The efficacy of antiarrhythmic drugs (AAD) can vary in patients with atrial fibrillation (AF), and the PITX2 gene affects the responsiveness of AADs. We explored the virtual AAD (V-AAD) responses between wild-type and PITX2+/−-deficient AF conditions by realistic in silico AF modeling.Methods: We tested the V-AADs in AF modeling integrated with patients' 3D-computed tomography and 3D-electroanatomical mapping, acquired in 25 patients (68% male, 59.8 ± 9.8 years old, 32.0% paroxysmal type). The ion currents for the PITX2+/− deficiency and each AAD (amiodarone, sotalol, dronedarone, flecainide, and propafenone) were defined based on previous publications.Results: We compared the wild-type and PITX2+/− deficiency in terms of the action potential duration (APD90), conduction velocity (CV), maximal slope of restitution (Smax), and wave-dynamic parameters, such as the dominant frequency (DF), phase singularities (PS), and AF termination rates according to the V-AADs. The PITX2+/−-deficient model exhibited a shorter APD90 (p < 0.001), a lower Smax (p < 0.001), mean DF (p = 0.012), PS number (p < 0.001), and a longer AF cycle length (AFCL, p = 0.011). Five V-AADs changed the electrophysiology in a dose-dependent manner. AAD-induced AFCL lengthening (p < 0.001) and reductions in the CV (p = 0.033), peak DF (p < 0.001), and PS number (p < 0.001) were more significant in PITX2+/−-deficient than wild-type AF. PITX2+/−-deficient AF was easier to terminate with class IC AADs than the wild-type AF (p = 0.018).Conclusions: The computational modeling-guided AAD test was feasible for evaluating the efficacy of multiple AADs in patients with AF. AF wave-dynamic and electrophysiological characteristics are different among the PITX2-deficient and the wild-type genotype models.

scholarly journals Posters 159Misdiagnosed, misbelieved and misdirected; largest uk study casts doubt on some long held but poorly validated assumptions about the pots population and suggests improvements in care pathways and service provision60An acute comparison of different strategies for targeting the left ventricular lead for cardiac resynchronisation therapy61Relationship of phase singularities and high dominant frequency regions during persistent atrial fibrillation in humans62Restoration of sinus rhythm results in early and late improvements in the functional reserve of the heart following direct current cardioversion of persistent af: fresh-af63Non-concomitant hybrid ablation using the estech cobra device for the treatment of longstanding persistent atrial fibrillation: an initial single-centre experience64Artificial intelligence outperforms manual ecg scoring in the detection of arrhythmia substrate65Single centre experience and outcome of persistent af ablation using nmarq catheter: 2 year follow up66The growing burden of atrial fibrillation and management at a typical district general hospital67Haemodynamic effects of single-vein, simultaneous, multipoint pacing compared with bipolar pacing in patients undergoing cardiac resynchronisation therapy68Is multisite pacing of interest in cardiac resynchronization therapy? teachings from a long-term follow-up of a cohort of patients implanted with triventricular pacing systems69Differences in fractionated electrogram detection: a direct quantitative comparison between navx and carto: Table 1

EP Europace ◽  
2015 ◽  
Vol 17 (suppl 5) ◽  
pp. v18-v21
Author(s):  
L.A. Kavi ◽  
J.H.P. Gamble ◽  
N. Dastagir ◽  
K.A. Gilbert ◽  
G.O. Furniss ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Persistent Atrial Fibrillation ◽  
Dominant Frequency ◽  
Left Ventricular ◽  
Cardiac Resynchronization ◽  
Direct Current Cardioversion ◽  
Ventricular Lead ◽  
Cardiac Resynchronisation ◽  
Long Term Follow Up ◽  
Phase Singularities

scholarly journals Spatial concentration and distribution of phase singularities in human atrial fibrillation: Insights for the AF mechanism

2021 ◽  
Author(s):  
Madeline Schopp ◽  
Dhani Dharmaprani ◽  
Pawel Kuklik ◽  
Jing Quah ◽  
Anandaroop Lahiri ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Spatial Concentration ◽  
Phase Singularities ◽  
Human Atrial Fibrillation

P6566Noninvasive Panoramic Mapping of Phase Singularities with Signal Complexity Analysis in Patients with Persistent Atrial Fibrillation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Chmelevsky ◽  
M Budanova ◽  
S Zubarev ◽  
D Potyagaylo ◽  
C Sohns ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Complexity Analysis ◽  
Conduction Block ◽  
Persistent Atrial Fibrillation ◽  
Positive Outcome ◽  
Inferior Wall ◽  
Ablation Therapy ◽  
Phase Singularities ◽  
The Mean ◽  
Signal Complexity

Abstract Background An assessment of positive outcome probability of ablation therapy based on the comprehensive signal complexity analysis is a promising working hypothesis while electrocardiographic imaging (ECGI) can detect and visualize zones of phase singularities (PS) associated with stable sources of atrial fibrillation (AF). Methods Ten consecutive patients with persistent AF (three female, median (min–max) – 63.5 (45–75) years) underwent ECGI using “Amycard 01C EP lab” system with cardiac MRI (1.5-T Magnetom Avanto) followed by pulmonary vein isolation. Each T-Q segment with a length >800 ms during AF was processed to find PS. Sites with rotations around stable pivot points were considered as PS and then marked and visualized on the reconstructed anatomical 3D atrial model. Finally, a signal complexity cluster analysis was performed to define and depict phase-aggregation zones. Results ECGI analysis identified a total number of 410 PS, with 196 (47.8%) occurring in the LA and 214 (52.2%) in the RA. The median (25–75% IQR) number of revealed PS per patient was n=20 (14–30) for RA and n=20 (11–22) for the LA. The majority of the PS in the LA was located on the inferior wall n=66 (min-max 1–17). In eight patients, comprehensive signal complexity analysis revealed stability of phase-clustered zones over time. The mean number (min-max) of PS in a clustered area was 10 (6–15). In two patients, PS were distributed disordered on the entire LA and RA surface. Distribution of phase singularities Conclusions This is the first clinical study demonstrating signal complexity analysis capability of clustering noninvasively mapped PS and relating them to specific atrial anatomical regions. Thereby obtained clusters may be a potential zones of conduction block, and could contribute to a better understanding of the temporal AF complexity.

Sign in / Sign up

Export Citation Format

Share Document