Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation

Ganesan, Prasanth; Salmin, Anthony; Cherry, Elizabeth M.; Ghoraani, Behnaz

doi:10.1109/embc.2016.7590747

Cited by 5 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studying the electrophysiological changes on AP and ion kinetics (Jones et al, 2012; Sanchez et al, 2012; Voigt et al, 2013, 2014) is the main subject of cell level simulations. 2D level studies target at identifying AF drivers, such as rotors and spiral waves (Becerra et al, 2014; Ganesan et al, 2016; Salmin et al, 2016; Duarte-Salazar et al, 2017; Aronis and Ashikaga, 2018) or the effect of spatial resolution on AF drivers detection (Rappel and Narayan, 2013; Roney et al, 2017). The use of patient-specific 3D models can give more insight into the mechanism of AF (Zahid et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies

et al. 2019

View full text Add to dashboard Cite

The remarkable advances in high-performance computing and the resulting increase of the computational power have the potential to leverage computational cardiology toward improving our understanding of the pathophysiological mechanisms of arrhythmias, such as Atrial Fibrillation (AF). In AF, a complex interaction between various triggers and the atrial substrate is considered to be the leading cause of AF initiation and perpetuation. In electrocardiography (ECG), P-wave is supposed to reflect atrial depolarization. It has been found that even during sinus rhythm (SR), multiple P-wave morphologies are present in AF patients with a history of AF, suggesting a higher dispersion of the conduction route in this population. In this scoping review, we focused on the mechanisms which modify the electrical substrate of the atria in AF patients, while investigating the existence of computational models that simulate the propagation of the electrical signal through different routes. The adopted review methodology is based on a structured analytical framework which includes the extraction of the keywords based on an initial limited bibliographic search, the extensive literature search and finally the identification of relevant articles based on the reference list of the studies. The leading mechanisms identified were classified according to their scale, spanning from mechanisms in the cell, tissue or organ level, and the produced outputs. The computational modeling approaches for each of the factors that influence the initiation and the perpetuation of AF are presented here to provide a clear overview of the existing literature. Several levels of categorization were adopted while the studies which aim to translate their findings to ECG phenotyping are highlighted. The results denote the availability of multiple models, which are appropriate under specific conditions. However, the consideration of complex scenarios taking into account multiple spatiotemporal scales, personalization of electrophysiological and anatomical models and the reproducibility in terms of ECG phenotyping has only partially been tackled so far.

show abstract

Section: Resultsmentioning

confidence: 99%

Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies

et al. 2019

View full text Add to dashboard Cite

show abstract

“…A detailed description of the algorithm can be found in [16]. The algorithm was evaluated using 2D single and double rotor simulations developed using Nygren et al ’s model.…”

Section: Application Of Af Simulation To a Rotor Localization Almentioning

confidence: 99%

Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization

Ganesan

Shillieto

Ghoraani

2017

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)

Self Cite

View full text Add to dashboard Cite

Cardiac simulations play an important role in studies involving understanding and investigating the mechanisms of cardiac arrhythmias. Today, studies of arrhythmogenesis and maintenance are largely being performed by creating simulations of a particular arrhythmia with high accuracy comparable to the results of clinical experiments. Atrial fibrillation (AF), the most common arrhythmia in the United States and many other parts of the world, is one of the major field where simulation and modeling is largely used. AF simulations not only assist in understanding its mechanisms but also help to develop, evaluate and improve the computer algorithms used in electrophysiology (EP) systems for ablation therapies. In this paper, we begin with a brief overeview of some common techniques used in simulations to simulate two major AF mechanisms – spiral waves (or rotors) and point (or focal) sources. We particularly focus on 2D simulations using Nygren et al.’s mathematical model of human atrial cell. Then, we elucidate an application of the developed AF simulation to an algorithm designed for localizing AF rotors for improving current AF ablation therapies. Our simulation methods and results, along with the other discussions presented in this paper is aimed to provide engineers and professionals with a working-knowledge of application-specific simulations of spirals and foci.

show abstract

“…Hence, a system that could estimate the rotor location and hence guide the clinician to the targets would be a significant clinical DSS for AF ablation in today's clinical scenario. The developed method is a novel probabilistic approach to localize rotors [90]. The relevant methods available in the literature for locating rotors involve deterministic, noniterative solutions using time-domain and frequency-domain characteristics [54][55][56][57][58].…”

Section: Identification Of Successful Ablation Targets From Egm Signalsmentioning

confidence: 99%

Computer-Aided Technologies

Bhise¹

2017

Automotive Product Development

View full text Add to dashboard Cite

He received a BSc degree (5 years) in Aerospace Engineering in 1995 and then an MSc degree in Mechanical Engineering in 1996 from Transilvania University of Brasov. He obtained his PhD (cum laude) in Industrial Engineering field from the same university, in 2003. He is the research director of the Industrial Innovative Technologies Laboratory within PLADETINO's interdisciplinary technological platform since 2007. R.Udroiu is the author/coauthor for 9 books and more than 60 research papers within journals and international conferences and coauthor for 2 patent proposals. He participated in 13 research projects with companies (director) and 14 research-development-innovation grants (team leader or team member). His main competences are related to the field of computer-aided design and manufacturing, advanced manufacturing technologies, additive manufacturing, aircraft and helicopter engineering, and composite materials technologies. He is a member of the international professional associations,

show abstract

Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation

Cited by 5 publications

References 10 publications

Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies

Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies

Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization

Computer-Aided Technologies

Contact Info

Product

Resources

About