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


2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)

The overall purpose and theme of this conference is to provide an opportunity for scientists from around the world, with special focus for scientists and clinicians from South America, to exchange notes and discuss research in signal processing, pattern recognition, electronics and computers for helping the disabled, the elderly, and people in special circumstances. It will provide electronic, biomedical and biosignal engineers the chance to interact with clinicians, rehabilitation engineers, rehabilitation nurses and paramedics.


2012 IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI 2012)

All areas of Computers, Electrical and Electronics Engineering.


2012 10th World Congress on Intelligent Control and Automation (WCICA 2012)

A. Intelligent Control B. Control Theory and Control Engineering C. Complex Systems and Intelligent Robots D. Others


2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc


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Periodicals related to Atrial fibrillation

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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.


Education, IEEE Transactions on

Educational methods, technology, and programs; history of technology; impact of evolving research on education.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


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Most published Xplore authors for Atrial fibrillation

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Xplore Articles related to Atrial fibrillation

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Atrial Fibrillation detection using time-varying coherence function and Shannon Entropy

J. Lee; D. McManus; K. Chon 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

We introduce a novel method for automatic detection of Atrial Fibrillation (AF) using time-varying coherence functions (TVCF) and Shannon Entropy (SE). The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs). Two TVTFs are obtained using two adjacent data segments with one data segment as the input signal and the other data segment as the output to ...


A simulation study of ventricular rate smoothing during atrial fibrillation

Jie Lian; D. Mussig; V. Lang Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2003

Ventricular rate smoothing (VRS) algorithms have been proposed to regularize ventricular response during atrial fibrillation (AF) in order to improve patient's symptoms and hemodynamics. In the present study, we conduct computer simulations to evaluate the performance of a new VRS algorithm based on a quantitative AF model. The results of this study show that the new VRS algorithm can effectively ...


Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes

Tran Thong; J. McNames; M. Aboy; B. Goldstein IEEE Transactions on Biomedical Engineering, 2004

Currently, no reliable method exists to predict the onset of paroxysmal atrial fibrillation (PAF). We propose a predictor that includes an analysis of the R-R time series. The predictor uses three criteria: the number of premature atrial complexes (PAC) not followed by a regular R-R interval, runs of atrial bigeminy and trigeminy, and the length of any short run of ...


Screening patients with paroxysmal atrial fibrillation (PAF) from non-PAF heart rhythm using HRV data analysis

Y. V. Chesnokov; A. V. Holden; H. Zhang 2007 Computers in Cardiology, 2007

The idea of this research is to determine can we tell from the HRV data without paroxysmal atrial fibrillation present at the recording if the patient suffers from this arrhythmia. The benefit is we can provide time and cost effective preliminary screening procedure during short time visit to the clinic. To achieve this goal we used Fourier analysis of the ...


Atrial Fibrillation ECG Signal Processing for QRST Cancellation: Zero-Padding Versus Time Alignment

Shima Gholinezhadasnefestani; Omar Escalona; Noel Castro; Kimia Nazarzadeh; Vivek Kodoth; Ernest Lau; Ganesh Manoharan 2012 VI Andean Region International Conference, 2012

In non-invasive analysis of atrial fibrillation (AF), the QRST cancellation is commonly applied by using a time-aligned average over several ECG cycles. This paper proposes another technique with less illusive high frequency content into the residual signal. Firstly the QRS complexes and T-end were detected by Pan-Tompkins's technique and Zhang's algorithm respectively. Subsequently, the QRST segment was determined in each ...


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Educational Resources on Atrial fibrillation

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eLearning

Atrial Fibrillation detection using time-varying coherence function and Shannon Entropy

J. Lee; D. McManus; K. Chon 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

We introduce a novel method for automatic detection of Atrial Fibrillation (AF) using time-varying coherence functions (TVCF) and Shannon Entropy (SE). The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs). Two TVTFs are obtained using two adjacent data segments with one data segment as the input signal and the other data segment as the output to ...


A simulation study of ventricular rate smoothing during atrial fibrillation

Jie Lian; D. Mussig; V. Lang Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 2003

Ventricular rate smoothing (VRS) algorithms have been proposed to regularize ventricular response during atrial fibrillation (AF) in order to improve patient's symptoms and hemodynamics. In the present study, we conduct computer simulations to evaluate the performance of a new VRS algorithm based on a quantitative AF model. The results of this study show that the new VRS algorithm can effectively ...


Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes

Tran Thong; J. McNames; M. Aboy; B. Goldstein IEEE Transactions on Biomedical Engineering, 2004

Currently, no reliable method exists to predict the onset of paroxysmal atrial fibrillation (PAF). We propose a predictor that includes an analysis of the R-R time series. The predictor uses three criteria: the number of premature atrial complexes (PAC) not followed by a regular R-R interval, runs of atrial bigeminy and trigeminy, and the length of any short run of ...


Screening patients with paroxysmal atrial fibrillation (PAF) from non-PAF heart rhythm using HRV data analysis

Y. V. Chesnokov; A. V. Holden; H. Zhang 2007 Computers in Cardiology, 2007

The idea of this research is to determine can we tell from the HRV data without paroxysmal atrial fibrillation present at the recording if the patient suffers from this arrhythmia. The benefit is we can provide time and cost effective preliminary screening procedure during short time visit to the clinic. To achieve this goal we used Fourier analysis of the ...


Atrial Fibrillation ECG Signal Processing for QRST Cancellation: Zero-Padding Versus Time Alignment

Shima Gholinezhadasnefestani; Omar Escalona; Noel Castro; Kimia Nazarzadeh; Vivek Kodoth; Ernest Lau; Ganesh Manoharan 2012 VI Andean Region International Conference, 2012

In non-invasive analysis of atrial fibrillation (AF), the QRST cancellation is commonly applied by using a time-aligned average over several ECG cycles. This paper proposes another technique with less illusive high frequency content into the residual signal. Firstly the QRS complexes and T-end were detected by Pan-Tompkins's technique and Zhang's algorithm respectively. Subsequently, the QRST segment was determined in each ...


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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. 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

  • 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.



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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