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Intravascular Imaging: Current Applications and Research Developments
Limitations of angiography, the traditional invasive method for assessing vascular pathology, have led to an interest in alternative invasive techniques that visualize the arterial wall and allow characterization of plaque type. These alternative techniques, which include intravascular ultrasound, angioscopy, thermography, optical coherence tomography, near infrared spectroscopy, and intravascular magnetic resonance imaging are able to provide valuable information regarding plaque vulnerability, the composition of plaque, and luminal morphology. Intravascular Imaging: Current Applications and Research Developments presents all available intravascular imaging techniques and analyzes their impact in clinical practice and research. This publication aims to inform medical specialists, biomedical engineers, bioinfomaticians, and researchers of current developments and future trends in intravascular imaging techniques, promoting continued evolution of this discipline.
Image Processing: Concepts, Methodologies, Tools, and Applications
Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.
Big Data Analytics in Bioinformatics and Healthcare
As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
Emerging Theory and Practice in Neuroprosthetics
Neuroprosthetics is a fast-growing area that brings together the fields of biomedical engineering and neuroscience as a means to interface the neural system directly to prostheses. Advancing research and applications in this field can assist in successfully restoring motor, sensory, and cognitive functions. Emerging Theory and Practice in Neuroprosthetics brings together the most up-to-date research surrounding neuroprosthetics advances and applications. Presenting several new results, concepts, and further developments in the area of neuroprosthetics, this book is an essential publication for researchers, upper-level students, engineers, and medical practitioners.
Hypertension and Cardiovascular Disease
This book provides comprehensive analysis into individualized patient care, and applying evidence‐based medicine while integrating basic medical knowledge with applied medicine. The Editor and the contributors not only discuss important issues on hypertension management and its deleterious consequences if it is not well‐controlled, but also highlight the important signaling pathways involved in the pathogenesis of hypertensive heart disease and cardiac hypertrophy.
Management of Hypertension
This book is a valuable tool to assist both cardiovascular physicians and scientists learning the intricacies of hypertension research and its milestone studies. All major hypertension trials have been reviewed in this book in chronological order with extensive discussion of the study population, study design, and outcomes and with a special focus on what knowledge they offered, their strengths and weaknesses, statistical errors, impact on international guidelines and unmet needs. Importantly, the book also offers physicians and young scientists with basic knowledge regarding medical biostatistics. It is of critical importance for a scientist involved in the field to understand deeply the pr...
Personalized Predictive Modeling in Type 1 Diabetes
Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are cove...
Adult Hydrocephalus
Provides guidelines for managing this grossly underdiagnosed and undertreated condition, focusing on early detection and timely, effective interventions.
Impacts of COVID-19 on food security: Panel data evidence from Nigeria
This paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to quantify the overall and differential impacts of COVID-19 on household food security, labor market participation and local food prices in Nigeria. We exploit spatial variation in exposure to COVID-19 related infections and lockdown measures along with temporal differences in our outcomes of interest using a difference-in-difference approach. We find that those households exposed to higher COVID-19 cases or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that COVID-19 signifi...
