Fibrillation

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Fibrillation is the rapid, irregular, and unsynchronized contraction of muscle fibers. (Wikipedia.org)




IEEE Organizations related to Fibrillation

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Conferences related to Fibrillation

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 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

  • 2011 33rd 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.

  • 2010 32nd 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

  • 2009 31st 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

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)



Periodicals related to 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 Fibrillation

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Xplore Articles related to Fibrillation

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Contributions for the optimal lead placement for the study of atrial fibrillation applying Independent Component Analysis to 64 body surface potential mapping recordings

J. Millet-Roig; M. S. Guillem; J. Igual; R. Llinares; R. Ruiz 2006 Computers in Cardiology, 2006

The interest in the study and analysis of atrial fibrillation has increased significantly in the last decades. A correct estimation of the atrial activity is a crucial previous step for AF analysis. Different methods based on independent component analysis of 12-lead ECG have been proposed. However, they don't work for a reduced number of leads. The purpose of this study ...


Electrophysiological models for the heterogeneous canine atria: Computational platform for studying rapid atrial arrhythmias

Oleg V. Aslanidi; Timothy D. Butters; Christopher X. Ren; Gareth Ryecroft; Henggui Zhang 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Heterogeneity in the electrical action potential (AP) properties can provide a substrate for atrial arrhythmias, especially at rapid pacing rates. In order to quantify such substrates, we develop a family of detailed AP models for canine atrial cells. An existing model for the canine right atrial (RA) myocyte was modified based on electrophysiological data from dog to create new models ...


A new method for analysis of atrial activation during chronic atrial fibrillation in man

M. Holm; R. Johansson; B. Olsson; J. Brandt; C. Luhrs IEEE Transactions on Biomedical Engineering, 1996

To further clarify the mechanisms maintaining chronic atrial fibrillation (CAF), a method identifying preferable activation patterns of the atria during fibrillation, by time averaging of multiple discrete excitation vectors, was developed. Repeated recordings, each of 56 atrial bipolar electrograms simultaneously acquired during 8 s, were made at multiple sites in the right atrial free wall and the left atrial appendage ...


Prediction of Spontaneous Termination of Atrial Fibrillation with Supervised Neural Networks

Germán E. Melo A.; Ricardo A. Osorio M.; Alvaro D. Orjuela C. 2012 VI Andean Region International Conference, 2012

This paper presents a proposal of ECG analysis, which determines a spontaneous termination of atrial fibrilation prediction. Supervised neural networks are trained to develop this task, where a comparison is carried out between multilayer perceptron (MLP) and supervised self organized maps (SOM). Principal component analysis (PCA) is implemented to reduce the input dimensionality. Results show maximum classification rates of 100% ...


Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data

Desok Kim; Yunhwan Seo; Woo Ram Jung; Chan-Hyun Youn 2008 International Conference on BioMedical Engineering and Informatics, 2008

Circadian variations of heart rate variability (HRV) have been well known in cardiac diseases. However, long term HRV features were not thoroughly investigated for the prediction of atrial fibrillation (AF). Thus, we analyzed the 15 hour long changes of HRV of normal sinus rhythm (NSR) and AF data. Long term patterns of HR V in NSR were established first and ...


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Educational Resources on Fibrillation

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eLearning

Contributions for the optimal lead placement for the study of atrial fibrillation applying Independent Component Analysis to 64 body surface potential mapping recordings

J. Millet-Roig; M. S. Guillem; J. Igual; R. Llinares; R. Ruiz 2006 Computers in Cardiology, 2006

The interest in the study and analysis of atrial fibrillation has increased significantly in the last decades. A correct estimation of the atrial activity is a crucial previous step for AF analysis. Different methods based on independent component analysis of 12-lead ECG have been proposed. However, they don't work for a reduced number of leads. The purpose of this study ...


Electrophysiological models for the heterogeneous canine atria: Computational platform for studying rapid atrial arrhythmias

Oleg V. Aslanidi; Timothy D. Butters; Christopher X. Ren; Gareth Ryecroft; Henggui Zhang 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Heterogeneity in the electrical action potential (AP) properties can provide a substrate for atrial arrhythmias, especially at rapid pacing rates. In order to quantify such substrates, we develop a family of detailed AP models for canine atrial cells. An existing model for the canine right atrial (RA) myocyte was modified based on electrophysiological data from dog to create new models ...


A new method for analysis of atrial activation during chronic atrial fibrillation in man

M. Holm; R. Johansson; B. Olsson; J. Brandt; C. Luhrs IEEE Transactions on Biomedical Engineering, 1996

To further clarify the mechanisms maintaining chronic atrial fibrillation (CAF), a method identifying preferable activation patterns of the atria during fibrillation, by time averaging of multiple discrete excitation vectors, was developed. Repeated recordings, each of 56 atrial bipolar electrograms simultaneously acquired during 8 s, were made at multiple sites in the right atrial free wall and the left atrial appendage ...


Prediction of Spontaneous Termination of Atrial Fibrillation with Supervised Neural Networks

Germán E. Melo A.; Ricardo A. Osorio M.; Alvaro D. Orjuela C. 2012 VI Andean Region International Conference, 2012

This paper presents a proposal of ECG analysis, which determines a spontaneous termination of atrial fibrilation prediction. Supervised neural networks are trained to develop this task, where a comparison is carried out between multilayer perceptron (MLP) and supervised self organized maps (SOM). Principal component analysis (PCA) is implemented to reduce the input dimensionality. Results show maximum classification rates of 100% ...


Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data

Desok Kim; Yunhwan Seo; Woo Ram Jung; Chan-Hyun Youn 2008 International Conference on BioMedical Engineering and Informatics, 2008

Circadian variations of heart rate variability (HRV) have been well known in cardiac diseases. However, long term HRV features were not thoroughly investigated for the prediction of atrial fibrillation (AF). Thus, we analyzed the 15 hour long changes of HRV of normal sinus rhythm (NSR) and AF data. Long term patterns of HR V in NSR were established first and ...


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IEEE.tv Videos

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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 Fibrillation

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Jobs related to Fibrillation

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