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Cardiovascular Computing : Methodologies and Clinical Applications / edited by Spyretta Golemati, Konstantina S. Nikita.

Contributor(s): SpringerLink (Online service) | Golemati, Spyretta., editor literario | Nikita, Konstantina S., editor literario
Series: (Engineering (Springer-11647)); (Series in BioEngineering, 2196-8861).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (X, 362 páginas) : 118 ilustraciones, 89 ilustraciones a color.ISBN: 9789811050923.Subject: Aparato circulatorio -- Enfermedades -- Diagnóstico | Aparato circulatorio -- Enfermedades -- TratamientoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC670 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks24062316
Total holds: 0

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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