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Titlebook: Cardiovascular Computing—Methodologies and Clinical Applications; Spyretta Golemati,Konstantina S. Nikita Book 2019 Springer Nature Singap

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書目名稱Cardiovascular Computing—Methodologies and Clinical Applications
編輯Spyretta Golemati,Konstantina S. Nikita
視頻videohttp://file.papertrans.cn/222/221913/221913.mp4
概述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
叢書名稱Series in BioEngineering
圖書封面Titlebook: Cardiovascular Computing—Methodologies and Clinical Applications;  Spyretta Golemati,Konstantina S. Nikita Book 2019 Springer Nature Singap
描述.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..
出版日期Book 2019
關(guān)鍵詞Cardiovascular Informatics; Telemetry; Cardiovascular Sensing Informatics; Cardiovascular Risk Predicti
版次1
doihttps://doi.org/10.1007/978-981-10-5092-3
isbn_ebook978-981-10-5092-3Series ISSN 2196-8861 Series E-ISSN 2196-887X
issn_series 2196-8861
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Segmentation of Cardiac Structuresm (RA), which start at the superior and inferior vena cava and ends at the tricuspid valve. In recent years, a variety of methods have been developed for cardiac structure segmentation paving the way for “personalized” medicine in the clinical setting. In this chapter we will briefly review the most
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Intrinsic Cardiovascular Wave and Strain Imaginglation and atrial flutter being the most prevalent. In this chapter, we introduce ultrasound-based methodologies that are based on inferring to the mechanical and electrical properties of the myocardium in order to better image the onset and progression of the aforementioned diseases.
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Mathematical and Computational Modelling of Blood Pressure and Flowwo approaches can be used to simulate blood flow: either a phenomenon is simulated locally (and in detail) using 3D Computational Fluid Dynamics (CFD) or fluid structure interaction (FSI) models, or with lumped or wave propagation models to simulate the entire systemic circulation considering a simp
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Cardiovascular System Scintigraphy,n and viability and well as edema visualization, extracellular volume imaging, iron overload, etc. The emergence of new technologies for acquiring data with existing techniques, such as sparse undersampling, and radically new approaches, such as Optical Coherence Tomography and Near Infrared Spectro
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