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Cardiovascular Computing—Methodologies and Clinical Applications [electronic resource] / edited by Spyretta Golemati, Konstantina S. Nikita.

Contributor(s): Golemati, Spyretta [editor.] | Nikita, Konstantina S [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Series in BioEngineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: X, 362 p. 118 illus., 89 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811050923.Subject(s): Biomedical engineering | Signal processing | Medical informatics | Cardiology | Computer vision | Biomedical Engineering and Bioengineering | Signal, Speech and Image Processing | Health Informatics | Cardiology | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 610.28 Online resources: Click here to access online
Contents:
Cardiovascular signals and images -- Analysis of signals and images -- Cardiovascular informatics -- Signals and telemetry -- Sensing informatics and risk prediction -- Modeling, simulation and system study.
In: Springer Nature eBookSummary: 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.
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Cardiovascular signals and images -- Analysis of signals and images -- Cardiovascular informatics -- Signals and telemetry -- Sensing informatics and risk prediction -- Modeling, simulation and system study.

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.

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