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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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions 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 postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

The series of BIBE Conferences was initiated in 2000 and is the first of its kind in IEEE inspiringothers to follow its path. The 18th annual IEEE International Conference on Bioinformatics andBioengineering aims at building synergy between Bioinformatics and Bioengineering, twocomplementary disciplines that hold great promise for the advancement of research anddevelopment in complex medical and biological systems, agriculture, environment, publichealth, drug design. Research and development in these two areas are impacting the scienceand technology in fields such as medicine, food production, forensics, etc. by advancingfundamental concepts in molecular biology, by helping us understand living organisms atmultiple levels, by developing innovative implants and bio-prosthetics, and by improving toolsand techniques for the detection, prevention and treatment of diseases.


2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

BHI is "informatics for smart, precision and preventive medicine."


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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 Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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.


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Education, IEEE Transactions on

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


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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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Optimal beat selection study for QSRT cancellation methods in the ECG of atrial fibrillation

[{u'author_order': 1, u'affiliation': u'Innovation in Bioengineering Research Group. University of Castilla-La Mancha, Cuenca, Spain', u'full_name': u'R. Alcaraz'}, {u'author_order': 2, u'affiliation': u'Biomedical Synergy. Valencia University of Technology, Spain', u'full_name': u'J. J. Rieta'}] 2008 Computers in Cardiology, None

The proper analysis and characterization of atrial fibrillation (AF) from surface ECG recordings requires cancelling out ventricular activity (VA), i. e. the QRST complexes. For single-lead ECGs, averaged beat subtraction (ABS) technique is the most widely used. However, this method is very sensitive to QRST wave variations. To date, several strategies have been proposed to overcome this problem, but an ...


Predicting Electrical Cardioversion outcome from surface ECG recordings through Wavelet Sample Entropy

[{u'author_order': 1, u'affiliation': u'Innovation in Bioengineering Research Group. University of Castilla-La Mancha, Cuenca, Spain', u'full_name': u'R. Alcaraz'}, {u'author_order': 2, u'affiliation': u'Biomedical Synergy. Valencia University of Technology, Valencia, Spain', u'full_name': u'J. J. Rieta'}] 2008 Computers in Cardiology, None

Electrical Cardioversion (ECV) is the most effective alternative to revert persistent atrial fibrillation (PAF) back to normal sinus rhythm (NSR). It would be clinically useful to predict NSR maintenance likelihood after ECV before it is attempted because of the high atrial fibrillation (AF) risk of recurrence and because of the potential secondary effects of ECV. In previous studies, other parameters ...


Detecting atrial fibrillation using spatial precision

[{u'author_order': 1, u'affiliation': u'Dept. of Biomed. Eng., Northwestern Univ., Evanston, IL, USA', u'full_name': u'A. T. Schoenwald'}, {u'author_order': 2, u'affiliation': u'Dept. of Biomed. Eng., Northwestern Univ., Evanston, IL, USA', u'full_name': u'A. V. Sahakian'}, {u'author_order': 3, u'full_name': u'S. Swiryn'}] IEEE Engineering in Medicine and Biology Magazine, 1996

Discusses measuring local activation direction variability using short segment lengths to quickly differentiate fibrillation from regular rhythms. It is concluded that the spatial precision of local activation direction shows promise as a potential discriminator of atrial fibrillation from regular atrial rhythms. For the authors' study set, excellent discrimination of atrial fibrillation from regular rhythms was achieved by spatial precision using ...


Atrial fibrillation classification using QRS complex features and LSTM

[{u'author_order': 1, u'affiliation': u'Tesonet LLC, Vilnius, Lithuania', u'full_name': u'Vykintas Maknickas'}, {u'author_order': 2, u'affiliation': u'Institute of Mechanical Science, Faculty of Mechanics, & Department of Information Technologies, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Vilnius, Lithuania', u'full_name': u'Algirdas Maknickas'}] 2017 Computing in Cardiology (CinC), None

Classification of Atrial Fibrillation from diverse electrocardiographic (ECG) signals is the challenging objective of the 2017 Physionet Challenge. We suggest a Long Short Term Memory (LSTM) network, which learns patterns directly from pre-computed QRS complex features that classifies ECG signals. Although our architecture is considered deep, it only consists of 1791 parameters. The result is an accurate, lightweight solution that ...


Wavelet variability of SA node originated P waves in atrial fibrillation and in signals with ectopic beats

[{u'author_order': 1, u'affiliation': u'Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece', u'full_name': u'D. Filos'}, {u'author_order': 2, u'affiliation': u'Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece', u'full_name': u'I. Chouvarda'}, {u'author_order': 3, u'affiliation': u'1st Cardiology Department, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece', u'full_name': u'G. Dakos'}, {u'author_order': 4, u'affiliation': u'1st Cardiology Department, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece', u'full_name': u'L. Mantziari'}, {u'author_order': 5, u'affiliation': u'1st Cardiology Department, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece', u'full_name': u'V. Vassilikos'}, {u'author_order': 6, u'affiliation': u'Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece', u'full_name': u'N. Maglaveras'}] 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None

Atrial fibrillation (AF) is one of the most common cardiac arrhythmia [1]. Electrical properties of the atrial myocardium may be related to the appearance of this type of arrhythmia. However ectopic beats, occurring normally in healthy people, disturb cardiac rhythm. Those beats arise from fiber outside the region of SA node. With this work we aim at highlighting differences in ...


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Educational Resources on Atrial fibrillation

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eLearning

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IEEE.tv Videos

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IEEE-USA E-Books

  • Understanding Atrial Fibrillation:The Signal Processing Contribution

    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

  • Understanding Atrial Fibrillation:The Signal Processing Contribution, Part II

    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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