Editors:
- Provides a comprehensive guide to the state-of-the-art in cardiovascular computing
- Highlights novel directions and challenges
- Spans a wide range of methods and clinical applications
Part of the book series: Series in BioEngineering (SERBIOENG)
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Table of contents (18 chapters)
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Front Matter
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Cardiovascular Physiology: Basic Principles and Measurement
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Front Matter
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Analysis of Cardiovascular Signals
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Front Matter
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Mathematical and Computational Modelling
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Front Matter
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Cardiovascular Informatics
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Front Matter
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About this book
This book provides a comprehensive guide to the state-of-the-art in cardiovascular computing and highlights novel directions and challenges in this constantly evolving multidisciplinary field. The topics covered span a wide range of methods and clinical applications of cardiovascular computing, including advanced technologies for the acquisition and analysis of signals and images, cardiovascular informatics, and mathematical and computational modeling.
Editors and Affiliations
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Medical School, National Kapodistrian University of Athens, Athens, Greece
Spyretta Golemati
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Biomedical Simulations and Imaging Laboratory, National Technical University of Athens, Athens, Greece
Konstantina S. Nikita
Bibliographic Information
Book Title: Cardiovascular Computing—Methodologies and Clinical Applications
Editors: Spyretta Golemati, Konstantina S. Nikita
Series Title: Series in BioEngineering
DOI: https://doi.org/10.1007/978-981-10-5092-3
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-10-5091-6Published: 21 February 2019
eBook ISBN: 978-981-10-5092-3Published: 12 February 2019
Series ISSN: 2196-8861
Series E-ISSN: 2196-887X
Edition Number: 1
Number of Pages: X, 362
Number of Illustrations: 29 b/w illustrations, 89 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Signal, Image and Speech Processing, Health Informatics, Cardiac Imaging, Image Processing and Computer Vision