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See below for a selection of the latest books from Biomedical engineering category. Presented with a red border are the Biomedical engineering books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Biomedical engineering books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis.
This book presents multidisciplinary research focusing on the analysis, synthesis, and design of bio and nanomaterials. Merging biophysics, biochemistry, and bioengineering perspectives, it discusses the basic properties of materials and their interaction with biological systems; the development of new medical devices, such as implantable systems; and new algorithms and methods for modeling the mechanical, physical, and biological properties of biomaterials. The book gathers the proceedings of the 3rd International Conference on Bio and Nanomaterials, held on September 29-October 3, 2019, on an MSC cruise ship navigating the Mediterranean Sea. It particularly highlights Horizon 2020 projects, covering topics such as novel synthetic strategies for nanomaterials, the implementation of bio- and smart materials for pharmacological and medical purposes, as well as environmental applications. Intended for a broad audience of academics and professionals, it offers a comprehensive and timely snapshot of the field of biomaterials. In addition to a set of innovative theories together with the necessary practical tools for their implementation, it also addresses the current challenges in the field, fostering new discussions and possible future collaborations between diverse groups.
This book is an educational resource of evolving scientific knowledge in the area of bioelectromagnetics that may serve the interests of students and decision-makers, as well as society as a whole. It is distinguished by extensive descriptions of fundamental biophysical concepts and their relevance to human health. Reflecting the transdisciplinary approach from several different intellectual streams including physics, biology, epidemiology, medicine, environment, risk science, and engineering, the book is quite a venture into the battling studies to assess the latest research on health effects and biomedical applications of EM energy. This new edition of the book particularly looks at the potential threats from the emerging 5G wireless networks, which will deploy large numbers of low-powered smartphones, notebooks, tablets, radio access networks, and other transmitters. Features Introduces necessary biophysical principles of EM fields in the context of their interaction with living systems. Strengthens understanding of cutting-edge research on several major areas in the broad area of bioelectromagnetics. Presents safety standards and guidelines for human exposure to EM fields. Discusses techniques that have been developed to ensure adequate EM-thermal dosimetry required for both health effects and biomedical applications. Provides insight into the determinants of EM health risk assessment and public concerns. Includes extensive reference list at the end of each chapter to enhance further study. Riadh Habash is a special appointment professor and McLaughlin Research Chair in Electromagnetic Fields and Health at the University of Ottawa, Canada. He has been the recipient of many awards, including the National Wighton Fellowship Award, and has authored or co-authored over 90 research articles, six books, and five book chapters. His most recent books are Green Engineering in 2017 and Professional Practice in 2019 (CRC Press), with the remaining previous books targeting the area of bioelectromagnetics.
Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored.
This book comprises a series of lectures given by celebrated Soviet neurophysiologist Nikolai Alexandrovich Bernstein in Moscow in 1925 and first published in Russian in 1926. Bernstein's groundbreaking work, which has had a significant influence on the development of neuroscience, movement studies, and other fields of study in Russia, Eastern Europe, and the West, was suppressed during Stalin's regime. At the time of its publication, Biomechanics for Instructors was a significant resource for teachers, with its descriptions of the movement of joints and degrees of freedom, illustrations of how to calculate the work capacity of muscles with bones acting as levers, the role of the central nervous system in movement, and more. Though the terminologies and methods have changed and been updated as research and technologies have progressed, the book remains a valuable introduction for those interested in Bernstein's work more generally, and to those involved in the study of biomechanics. This book is also of interest to historians and philosophers of neuroscience, as well as those involved in movement studies in both the scientific and artistic domains, and to physiotherapists and those involved in sports research and practice.
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.
This book presents a set of experimental studies and numerical simulation of cancellous bone material, the goal being to promote the development of artificial cancellous bones. In the development context, two major factors need to be considered: the integrity of the overall structure and its permeability. The challenge is to mimic and develop synthetic cancellous bone to offer performance that is comparable to natural cancellous bone structures, especially for load-bearing applications.
Automated Drug Delivery in Anesthesia provides a full review of available tools and methods on the drug delivery of anesthesia, bridging the gap between academic development, research and clinical practice. The book takes an interdisciplinary approach, pulling information about tools developed in other disciplines such as mathematics, physics, biology and system engineering and applying them to drug delivery. The book's authors discuss the missing element of complete regulatory loop of anesthesia: the sensor and model for pain pathway assessment. This is the only book which focuses specifically on the delivery of anesthesia.
This book provides an introduction to qualitative and quantitative aspects of human physiology. It examines biological and physiological processes and phenomena, including a selection of mathematical models, showing how physiological problems can be mathematically formulated and studied. It also illustrates how a wide range of engineering and physics topics, such as electronics, fluid dynamics, solid mechanics and control theory can be used to describe and understand physiological processes and systems. Throughout the text, there are introductions to measuring and quantifying physiological processes using both signaling and imaging technologies. This new edition includes updated material on pathophysiology, metabolism and the TCA cycle, as well as more advanced worked examples. This book describes the basic structure and models of cellular systems, the structure and function of the cardiovascular system, and the electrical and mechanical activity of the heart, and provides an overview of the structure and function of the respiratory and nervous systems. It also includes an introduction to the basic concepts and applications of reaction kinetics, pharmacokinetic modelling and tracer kinetics. It appeals to final year biomedical engineering undergraduates and graduates alike, as well as to practising engineers new to the fields of bioengineering or medical physics.
Now in its fifth edition, Principles of Tissue Engineering has been the definite resource in the field of tissue engineering for more than a decade. The fifth edition provides an update on this rapidly progressing field, combining the prerequisites for a general understanding of tissue growth and development, the tools and theoretical information needed to design tissues and organs, as well as a presentation by the world's experts of what is currently known about each specific organ system. As in previous editions, this book creates a comprehensive work that strikes a balance among the diversity of subjects that are related to tissue engineering, including biology, chemistry, material science, and engineering, among others, while also emphasizing those research areas that are likely to be of clinical value in the future. This edition includes greatly expanded focus on stem cells, including induced pluripotent stem (iPS) cells, stem cell niches, and blood components from stem cells. This research has already produced applications in disease modeling, toxicity testing, drug development, and clinical therapies. This up-to-date coverage of stem cell biology and the application of tissue-engineering techniques for food production - is complemented by a series of new and updated chapters on recent clinical experience in applying tissue engineering, as well as a new section on the emerging technologies in the field.
This book gathers papers presented at the 2019 Movement, Health & Exercise (MoHE) Conference and International Sports Science Conference (ISSC). The theme of this year's conference was Enhancing Health and Sports Performance by Design . The content covers (but is not limited to) the following topics: exercise science; human performance; physical activity & health; sports medicine; sports nutrition; management & sports studies; and sports engineering & technology.
Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the Research group in simulation of blood flow and vascular pathologies at the Institute of Numerical Mathematics of the Russian Academy of Sciences. Two important features distinguish this book from other monographs on numerical methods for biomedical applications. First, the variety of medical disciplines targeted by the mathematical modeling and computer simulations, including cardiology, vascular neurology and oncology. Second, for all mathematical models, the authors consider extensions and parameter tuning that account for vascular pathologies.