Atrial fibrillation

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Atrial fibrillation (AF or A-fib) is the most common cardiac arrhythmia (abnormal heart rhythm), and involves the two upper chambers of the heart. (Wikipedia.org)






Conferences related to Atrial fibrillation

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2013 Computing in Cardiology Conference (CinC)

Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2012 Computing in Cardiology Conference (CinC)

    Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2011 Computing in Cardiology Conference (CinC)

    Provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2010 Computing in Cardiology (CinC)

    Computing in Cardiology (formerly Computers in Cardiology) is one of the premier events focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration among physicians, engineers, physicists, biologists, computer scientists and others in research and development in Cardiology.

  • 2009 36th Annual Computers in Cardiology Conference (CinC)

    The Computers in Cardiology conference provides an international forum for scientific presentations focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration between physicians, engineers, physicists, biologists, computer scientists and others engaged in research in this area.

  • 2008 35th Annual Computers in Cardiology Conference (CinC)

    The Computers in Cardiology conference provides an international forum for scientific presentations focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions between scientists and professionals from different fields including medicine, physics, engineering, biology, information technology, computer science and others engaged in research in this area.

  • 2007 34th Annual Computers in Cardiology Conference (CinC)

    The Computers in Cardiology conference provides an international forum for scientific presentations focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration between physicians, engineers, physicists, biologists, computer scientists, and others engaged in research in this area.

  • 2006 Computers in Cardiology Conference

  • 2005 Computers in Cardiology Conference


2011 IEEE 7th International Symposium on Intelligent Signal Processing - (WISP 2011)

2011 WISP will highlight how the use of intelligent signal processing, contribute towards the solution of current challenges for systems measurements and promote emerging technologies. It aims to strengthen relations between industry, research laboratories, and universities.

  • 2009 IEEE International Symposium on Intelligent Signal Processing - (WISP 2009)

    to highlight how the use of intelligent signal processing, contribute towards the solution of current challenges for systems measurements and promote emerging technologies. It aims to strengthen relations between industry, research laboratories, and universities.

  • 2007 IEEE International Symposium on Intelligent Signal Processing - (WISP 2007)

    Topics will include, but are not limited to: analogue, digital and mixed signal processing, modelling, diagnostics, control, uncertainty-handling, artificial intelligence, soft computing techniques, anytime algorithms, emerging technologies, adaptive and non-linear processing, intelligent signal processing, sensors, embedded systems, real-time systems, distributed measurement, diagnostics and control systems, system id and control, VLSI/ASIC for intelligent signal processing.



Periodicals related to Atrial fibrillation

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.



Most published Xplore authors for Atrial fibrillation

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Xplore Articles related to Atrial fibrillation

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Defining requirements for an atrial fibrillation screening system that implements tele-holtering on a cloudified infrastructure

Cesar Veiga; Emilio Paredes-Galán; Daniel Rivera; Francisco Calvo; Pablo Pazos; Carlos Peña; Enrique García; Andrés Iñiguez Romo 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015

This work intends to define requirements to design, deploy, evaluate and validate the feasibility, efficiency and safety of an enriched telecardiology application for providing remotely ECG and Holter diagnostic/monitor services as atrial fibrillation screening. The platform must include supporting tools for e-learning that allow to operate the solution by general practitioners and patients for second opinion, best follow-up through home ...


Use of a microprocessor-based pacemaker to control an implantable drug delivery system

D. Bloem; R. Arzbaecher Proceedings of Computers in Cardiology Conference, 1993

Present strategies for treating paroxysmal atrial fibrillation are centered on the use of prophylactic oral administration of antiarrhythmic agents to prevent onset. This laboratory had proposed a system which senses the onset of atrial fibrillation and then delivers drug from an implanted pump to terminate infusion. In this system, arrhythmia detection was based on simple beat counting, while infusion was ...


Poincaré surface profile. Novel non-invasive method to detect preferential ventricular response during atrial fibrillation

A. M. Climent; M. S. Guillem; D. Husser; F. J. Castells; J. Millet; A. Bollmann 2007 Computers in Cardiology, 2007

The strategy of rate control during atrial fibrillation (AF) essentially deals with efforts to utilize and adjust the filtering properties of the atrioventricular (AV) node, allowing AF to continue and ensure that ventricular rate is controlled. In this work, a new tool based on the 3D Poincare plots is developed for the characterization of the ventricular response (VR) and the ...


Paroxysmal Atrial Fibrillation diagnosis based on feature extraction and classification

B. Pourbabaee; C. Lucas 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Paroxysmal Atrial Fibrillation (PAF), a really life threatening disease, is the result of irregular and repeated depolarization of the atria. In this paper, patients with PAF disease and their different episodes can be detected by extracting statistical and morphological features from ECG signals and classifying them by applying artificial neural network (ANN), Bayes optimal classifier and K-nearest neighbor (k-NN) classifier. ...


Analysis of atrial fibrillation after CABG using wavelets

N. Maglaveras; I. Chouvarda; G. Dakos; V. Vasilikos; S. Mochlas; G. Louridas Computers in Cardiology, 2002

In the present study, Wavelet analysis of P wave for the prediction of Atrial Fibrillation after CABG is evaluated. Continuous Wavelet Transform is applied to ECG and Mean/Max parameters are calculated within the P window for different frequency bands. Thus, 24 parameters are available, which, along with the 4 window lengths (corresponding to P wave length of X, Y, Z, ...


More Xplore Articles

Educational Resources on Atrial fibrillation

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eLearning

Defining requirements for an atrial fibrillation screening system that implements tele-holtering on a cloudified infrastructure

Cesar Veiga; Emilio Paredes-Galán; Daniel Rivera; Francisco Calvo; Pablo Pazos; Carlos Peña; Enrique García; Andrés Iñiguez Romo 2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015

This work intends to define requirements to design, deploy, evaluate and validate the feasibility, efficiency and safety of an enriched telecardiology application for providing remotely ECG and Holter diagnostic/monitor services as atrial fibrillation screening. The platform must include supporting tools for e-learning that allow to operate the solution by general practitioners and patients for second opinion, best follow-up through home ...


Use of a microprocessor-based pacemaker to control an implantable drug delivery system

D. Bloem; R. Arzbaecher Proceedings of Computers in Cardiology Conference, 1993

Present strategies for treating paroxysmal atrial fibrillation are centered on the use of prophylactic oral administration of antiarrhythmic agents to prevent onset. This laboratory had proposed a system which senses the onset of atrial fibrillation and then delivers drug from an implanted pump to terminate infusion. In this system, arrhythmia detection was based on simple beat counting, while infusion was ...


Poincaré surface profile. Novel non-invasive method to detect preferential ventricular response during atrial fibrillation

A. M. Climent; M. S. Guillem; D. Husser; F. J. Castells; J. Millet; A. Bollmann 2007 Computers in Cardiology, 2007

The strategy of rate control during atrial fibrillation (AF) essentially deals with efforts to utilize and adjust the filtering properties of the atrioventricular (AV) node, allowing AF to continue and ensure that ventricular rate is controlled. In this work, a new tool based on the 3D Poincare plots is developed for the characterization of the ventricular response (VR) and the ...


Paroxysmal Atrial Fibrillation diagnosis based on feature extraction and classification

B. Pourbabaee; C. Lucas 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Paroxysmal Atrial Fibrillation (PAF), a really life threatening disease, is the result of irregular and repeated depolarization of the atria. In this paper, patients with PAF disease and their different episodes can be detected by extracting statistical and morphological features from ECG signals and classifying them by applying artificial neural network (ANN), Bayes optimal classifier and K-nearest neighbor (k-NN) classifier. ...


Analysis of atrial fibrillation after CABG using wavelets

N. Maglaveras; I. Chouvarda; G. Dakos; V. Vasilikos; S. Mochlas; G. Louridas Computers in Cardiology, 2002

In the present study, Wavelet analysis of P wave for the prediction of Atrial Fibrillation after CABG is evaluated. Continuous Wavelet Transform is applied to ECG and Mean/Max parameters are calculated within the P window for different frequency bands. Thus, 24 parameters are available, which, along with the 4 window lengths (corresponding to P wave length of X, Y, Z, ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Atrial fibrillation"

IEEE-USA E-Books

  • No title

    The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time- frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, t eatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools.

  • No title

    The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and scientists. Research on atrial fibrillation has stimulated the development of a wide range of signal processing tools to better understand the mechanisms ruling its initiation, maintenance, and termination. This book provides undergraduate and graduate students, as well as researchers and practicing engineers, with an overview of techniques, including time domain techniques for atrial wave extraction, time- frequency analysis for exploring wave dynamics, and nonlinear techniques to characterize the ventricular response and the organization of atrial activity. The book includes an introductory chapter about atrial fibrillation and its mechanisms, t eatment, and management. The successive chapters are dedicated to the analysis of atrial signals recorded on the body surface and to the quantification of ventricular response. The rest of the book explores techniques to characterize endo- and epicardial recordings and to model atrial conduction. Under the appearance of being a monothematic book on atrial fibrillation, the reader will not only recognize common problems of biomedical signal processing but also discover that analysis of atrial fibrillation is a unique challenge for developing and testing novel signal processing tools. Table of Contents: Analysis of Ventricular Response During Atrial Fibrillation / Organization Measures of Atrial Activity During Fibrillation / Modeling Atrial Fibrillation: From Myocardial Cells to ECG / Algorithms for Atrial Tachyarrythmia Detection for Long-Term Monitoring with Implantable Devices



Standards related to Atrial fibrillation

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No standards are currently tagged "Atrial fibrillation"


Jobs related to Atrial fibrillation

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