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Synopsis
Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, and one of the main causes of ictus and strokes. Despite the advances in its comprehension, its thorough characterization and the choice of the most suitable therapy are still an open issue. Radiofrequency catheter ablation (CA) is becoming one of the most popular solutions. Yet, very little is known about its impact on heart substrate, thus leading to an inaccurate selection of positive responders to therapy; hence, the need for advanced signal processing tools able to quantify such impact in an objective and quantitative manner. Valuable information about AF can be provided by multilead electrocardiogram (ECG) recordings of heart electrical activity in a noninvasive and cost-effective manner. However, most of standard techniques are affected by several issues, such as their manual computation in only one ECG lead. This work aims at exploiting multilead ECG spatial variability through multivariate decomposition techniques, so as to extract proper predictors of AF termination by CA. This approach would help selecting a patient-tailored therapy, thus increasing CA success rate.
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About the Author
Marianna Meo is currently a postdoc researcher at Brigham and Women's Hospital, Harvard Medical School, Boston, USA. She got the Ph.D. at the I3S Laboratory, University of Nice Sophia Antipolis, France, in 2013. Her main research interests include biomedical signal processing, blind source separation and classification applied to cardiology.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2014
- ISBN 10 3847335391
- ISBN 13 9783847335399
- BindingPaperback
- LanguageEnglish
- Number of pages216
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Surface ECG spatio-temporal analysis for atrial fibrillation treatment
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LAP Lambert Academic Publishing Aug 2016, 2016
ISBN 10: 3847335391
ISBN 13: 9783847335399
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, and one of the main causes of ictus and strokes. Despite the advances in its comprehension, its thorough characterization and the choice of the most suitable therapy are still an open issue. Radiofrequency catheter ablation (CA) is becoming one of the most popular solutions. Yet, very little is known about its impact on heart substrate, thus leading to an inaccurate selection of positive responders to therapy; hence, the need for advanced signal processing tools able to quantify such impact in an objective and quantitative manner. Valuable information about AF can be provided by multilead electrocardiogram (ECG) recordings of heart electrical activity in a noninvasive and cost-effective manner. However, most of standard techniques are affected by several issues, such as their manual computation in only one ECG lead. This work aims at exploiting multilead ECG spatial variability through multivariate decomposition techniques, so as to extract proper predictors of AF termination by CA. This approach would help selecting a patient-tailored therapy, thus increasing CA success rate. 216 pp. Englisch. Seller Inventory # 9783847335399
Quantity: 2 available
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Surface ECG spatio-temporal analysis for atrial fibrillation treatment
Published by
LAP Lambert Academic Publishing, 2014
ISBN 10: 3847335391
ISBN 13: 9783847335399
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, and one of the main causes of ictus and strokes. Despite the advances in its comprehension, its thorough characterization and the choice of the most suitable therapy are still an open issue. Radiofrequency catheter ablation (CA) is becoming one of the most popular solutions. Yet, very little is known about its impact on heart substrate, thus leading to an inaccurate selection of positive responders to therapy; hence, the need for advanced signal processing tools able to quantify such impact in an objective and quantitative manner. Valuable information about AF can be provided by multilead electrocardiogram (ECG) recordings of heart electrical activity in a noninvasive and cost-effective manner. However, most of standard techniques are affected by several issues, such as their manual computation in only one ECG lead. This work aims at exploiting multilead ECG spatial variability through multivariate decomposition techniques, so as to extract proper predictors of AF termination by CA. This approach would help selecting a patient-tailored therapy, thus increasing CA success rate. Seller Inventory # 9783847335399
Quantity: 1 available
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Surface ECG spatio-temporal analysis for atrial fibrillation treatment
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3847335391
ISBN 13: 9783847335399
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Seller: moluna, Greven, Germany
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Meo MariannaMarianna Meo is currently a postdoc researcher at Brigham and Women s Hospital, Harvard Medical School, Boston, USA. She got the Ph.D. at the I3S Laboratory, University of Nice Sophia Antipolis, France, in 2013. Her main . Seller Inventory # 5510848
Quantity: Over 20 available