Biomedical Literature Mining, discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches, and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Biomedical Literature Mining is designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in, or entirely new to, the field.

The Pumps and Pipes collaboration and conference brings together energy, medicine, and higher education in a unique shared effort, exploring ideas and research common to these important fields and stimulating discussion and sharing technologies that can further the reach and goals of each individual area. The Proceedings explores the common attributes of oil and gas technology, computational sciences and cardiovascular medicine and probe the areas where there is room to cross-fertilize and develop research and commercial programs.

Highlights the utilization of nanofillers. Investigates the moisture absorption and ageing on the physio-chemical, mechanical, thermal properties of the vinyl ester-based composites. Considers the influence of hybridization, fibre architecture, and fibre-ply orientation on the mechanical and thermal properties of vinyl ester-based biocomposites. Discusses the effects of the alkali treatment. Chapters are written by global experts to cover a diverse scope of industry applications for fibre-reinforced polymer composites.

This textbook provides a thorough introduction and overview of the design and engineering of state-of-the-art prosthetics and assistive technologies. Innovations in prosthetics are increasingly made by cross-disciplinary thinking, and the author introduces the application of biomedical, mechanical, electrical, computer, and materials engineering principles to the design of artificial limbs. Coverage includes the fundamentals of biomechanics, biomechanical modeling and measurements, the basics of anatomy and physiology of limb defects, and the historical development of prosthetic design. This book stimulates the innovative thinking necessary for advancing limb restoration, and will be essential reading for students, as well as researchers, professional engineers, and prosthetists involved in the design and manufacture of artificial limbs. Learning enhanced by the exercises, including physical modeling with MATLAB and Simulink; Includes appendices with relevant equations and parameters for reference; Introduction to the design and engineering of prosthetics and assistive technologies.

This book presents a comprehensive study covering the design and application of microwave sensors for glucose concentration detection, with a special focus on glucose concentration tracking in watery and biological solutions. This book is based on the idea that changes in the glucose concentration provoke variations in the dielectric permittivity of the medium. Sensors whose electrical response is sensitive to the dielectric permittivity of the surrounding media should be able to perform as glucose concentration trackers. At first, this book offers an in-depth study of the dielectric permittivity of water-glucose solutions at concentrations relevant for diabetes purposes; in turn, it presents guidelines for designing suitable microwave resonators, which are then tested in both water-glucose solutions and multi-component human blood plasma solutions for their detection ability and sensitivities. Finally, a portable version is developed and tested on a large number of individuals in a real clinical scenario. All in all, the book reports on a comprehensive study on glucose monitoring devices based on microwave sensors. It covers in depth the theoretical background, provides extensive design guidelines to maximize sensitivity, and validates a portable device for applications in clinical settings.

This textbook explores the fundamental qualitative and quantitative aspects of human physiology. It approaches biological and physiological processes and phenomena from a quantitative perspective, revealing how physiological problems can be mathematically formulated starting from simple laws of physics. The book addresses a broad range of topics, including: the statics and dynamics of circulation; muscle and sarcomere force-length and force-velocity relations, together with their mechanisms and functional consequences; subdivisions and meaning of the heat produced by muscle; locomotion, statics and dynamics of respiration; diffusion of gases and acid base equilibrium; phonation; general functions of the kidney and of the different sections of the nephron; changes in clearance with a substance's plasmatic concentration; pH regulation and the kidney; Donnan's equilibrium and its consequences; and the Nernst equation. The book offers the ideal learning resource for students of human physiology courses in medicine and biomedicine, as well as biomedical engineering and biophysics graduate students. An elementary grasp of mathematics and physics is sufficient to understand the content.

This body of work represents the first volume of a book series covering the field of tissue engineering. Tissue engineering, which refers to a category of therapeutic or diagnostic products and processes which are based upon a combination of living cells and biomaterials, was defined as a field only a few years ago (1988). Tissue engineering is an inherently interdisciplinary field, combining bioengineering, life sciences and clinical sciences. The definition of this area of work as the field of tissue engineering brought together scientists from multiple backgrounds who already were working toward the achievement of similar goals. Why a book series exclusively devoted to tissue engineering? The field of tissue engineering is heterogeneous. The cells involved in tissue engineering can be autologous, allogeneic or xenogeneic. The biomaterials utilized can be either naturally occurring, synthetic or a combination of both. The appli cation of the technology can be either for acute or permanent purposes. An attempt to cover the field of tissue engineering in a single volume, with the degree of detail necessary for individuals with different scientific back grounds and disciplines, would be a difficult task to accomplish, particularly when this field is just emerging and changing rapidly. Therefore, addressing different technologies within the field of tissue engineering, in a comprehen sive manner, is the main mission of this series of volumes. A stellar group of scientists has been brought together to form the editorial board of the series."

Optical Coherence Tomography represents the ultimate noninvasive ocular imaging technique although being in the field for over two-decades. This book encompasses both medical and technical developments and recent achievements. Here, the authors cover the field of application from the anterior to the posterior ocular segments (Part I) and present a comprehensive review on the development of OCT. Important developments towards clinical applications are covered in Part II, ranging from the adaptive optics to the integration on a slit-lamp, and passing through new structural and functional information extraction from OCT data. The book is intended to be informative, coherent and comprehensive for both the medical and technical communities and aims at easing the communication between the two fields and bridging the gap between the two scientific communities.

This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular, muscle related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience, and computer science.

This book focuses on the challenges and potentials of open source and collaborative design approaches and strategies in the biomedical field. It provides a comprehensive set of good practices and methods for making these safe, innovative and certifiable biomedical devices reach patients and provide successful solutions to healthcare issues. The chapters are sequenced to follow the complete lifecycle of open source medical technologies. The information provided is eminently practical, as it is supported by real cases of study, in which collaboration among medical professionals, engineers and technicians, patients and patient associations, policy makers, regulatory bodies, and citizens has proven beneficial. The book is also supported by an online infrastructure, UBORA, through which open-source medical devices can be collaboratively developed and shared for the democratization of medical technology and for promoting accessible biomedical engineering education.

Microfluidic Devices for Biomedical Applications, Second Edition provides updated coverage on the fundamentals of microfluidics, while also exploring a wide range of medical applications. Chapters review materials and methods, microfluidic actuation mechanisms, recent research on droplet microfluidics, applications in drug discovery and controlled-delivery, including micro needles, consider applications of microfluidic devices in cellular analysis and manipulation, tissue engineering and their role in developing tissue scaffolds, and cover the applications of microfluidic devices in diagnostic sensing, including genetic analysis, low-cost bioassays, viral detection, and radio chemical synthesis. This book is an essential reference for medical device manufacturers, scientists and researchers concerned with microfluidics in the field of biomedical applications and life-science industries.

In this edited book, we highlight the central players in the Bionanotechnology field, which are the nanostructures and biomolecules. The book starts by describing how nanostructures are synthesized and by describing the wide variety of nanostructures available for biological research and applications. Also shown are the techniques used to synthesize a wide variety of biological molecules. Next, there is a focus on the assembly of nanostructures with biological molecules, which could lead to the design of multi-functional nanosystems. In the following chapters, examples of the unique properties of nanostructures are provided along with the current applications of these nanostructures in biology and medicine. Some applications include the use of gold nanoparticles in diagnostic applications, quantum dots and silica nanoparticles for imaging, and liposomes for drug delivery. In the final chapters of the book, the toxicity of nanostructures are described. This book provides broad examples of current developments in Bionanotechnology research and would be an excellent introduction to the field.

This book contains extended versions of papers presented at the international Conference VIPIMAGE 2009 - ECCOMAS Thematic Conference on Computational Vision and Medical Image, that was held at Faculdade de Engenharia da Universidade do Porto, Portugal, from 14th to 16th of October 2009. This conference was the second ECCOMAS thematic conference on computational vision and medical image processing. It covered topics related to image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The book collects the state-of-the-art research, methods and new trends on the subject of computational vision and medical image processing contributing to the development of these knowledge areas.

Lignin-based Materials for Biomedical Applications: Preparation, Characterization, and Implementation explores the emerging area of lignin-based materials as a platform for advanced biomedical applications, guiding the reader from source through to implementation. The first part of the book introduces the basics of lignin, including extraction methods, chemical modifications, structure and composition, and properties that make lignin suitable for biomedical applications. In addition, structural characterization techniques are described in detail. The next chapters focus on the preparation of lignin-based materials for biomedical applications, presenting methodologies for lignin-based nanoparticles, hydrogels, aerogels, and nanofibers, and providing in-depth coverage of lignin-based materials with specific properties-including antioxidant properties, UV absorbing capability, antimicrobial properties, and colloidal particles with tailored properties-and applications, such as drug and gene delivery, and tissue engineering. Finally, future perspectives and possible new applications are considered. This is an essential reference for all those with an interest in lignin-based materials and their biomedical applications, including researchers and advanced students across bio-based polymers, polymer science, polymer chemistry, biomaterials, nanotechnology, materials science and engineering, drug delivery, and biomedical engineering, as well as industrial R&D and scientists involved with bio-based polymers, specifically for biomedical applications.

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working. Describes brain modeling and all possible machine learning methods and their uses. Augments the use of data mining and machine learning to brain computer interface (BCI) devices. Includes case studies and actual simulation examples. This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 - 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08-10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

Digital Health: Exploring Use and Integration of Wearables is the first book to show how and why engineering theory is used to solve real-world clinical applications, considering the knowledge and lessons gathered during many international projects. This book provides a pragmatic A to Z guide on the design, deployment and use of wearable technologies for laboratory and remote patient assessment, aligning the shared interests of diverse professions to meet with a common goal of translating engineering theory to modern clinical practice. It offers multidisciplinary experiences to guide engineers where no clinically advice and expertise may be available. Entering the domain of wearables in healthcare is notoriously difficult as projects and ideas often fail to deliver due to the lack of clinical understanding, i.e., what do healthcare professionals and patients really need? This book provides engineers and computer scientists with the clinical guidance to ensure their novel work successfully translates to inform real-world clinical diagnosis, treatment and management.

This book covers innovative breakthroughs in additive manufacturing processes used for biomedical engineering. More and more, 3D printing is selected over traditional manufacturing processes, especially for complex designs, because of the many advantages such as fewer restrictions, better production cost savings, higher quality control, and accuracy. Current challenges and opportunities regarding material, design, cost savings, and efficiency are covered along with an outline of the most recent fabrication methods used for converting biomaterials into integrated structures that can fit best in anatomy while still obtaining the necessary architecture, mechanical reliability, biocompatibility, and anti-bacterial characteristics needed. Additional chapters will also focus on selected areas of applications such as bionics, affordable prostheses, implants, medical devices, rapid tooling, and drug delivery. Additive Manufacturing Processes in Biomedical Engineering: Advanced Fabrication Methods and Rapid Tooling Techniques acts as a first-hand reference for commercial manufacturing organizations which are mimicking tissue organs by using additive manufacturing techniques. By capturing the current trends of today's manufacturing practices this book becomes a one-stop resource for manufacturing professionals, engineers in related disciplines, and academic researchers.

This book examines the role of nanobiosensors in point-of-care applications for personalized healthcare and management. It begins by discussing various biomaterials that are used for the development of biosensors in medical diagnostics, and reviews advances in their fabrication and the miniaturization of biosensor devices for lab-on-chip analysis. In turn, it explores the rapidly evolving applications of nanomaterials in the context of biomaterial diagnostics. The book also explores the immense potential of biosensors in medical diagnostics, where they are increasingly being used to detect a wide range of biomolecules and biomarkers. In closing, it discusses the current challenges and outlines the future role of nanobiosensors in the development of next-generation point-of-care applications.

Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.

Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome. Deep Learning has been successfully applied in diverse fields such as computer vision, audio processing, robotics, natural language processing, bioinformatics and chemistry. Because of the huge scope of knowledge in Deep Learning, a lot of time is required to understand and deploy useful, working applications, hence the importance of this new resource. Both theory lessons and experiments are included in each chapter to introduce the techniques and provide source code examples to practice using them. All Labs for this book are placed on GitHub to facilitate the download. The book is written based on the assumption that the reader knows basic Python for programming and basic Machine Learning.

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.

Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and in development) that can be used for the management of COVID-19 patients, along with BME tools in the global environment that curtail and prevent the spread of the virus. BME tools covered in the book include new disinfectants and sterilization equipment, testing devices for rapid and accurate COVID-19 diagnosis, Internet of Things applications in COVID-19 hospitals, analytics, Data Science and statistical modeling applied to COVID-19 tracking, Smart City instruments and applications, and more. Later sections discuss smart tools in telemedicine and e-health. Biomedical engineering tools can provide engineers, computer scientists, clinicians and other policymakers with solutions for managing patient treatment, applying data analysis techniques, and applying tools to help the general population curtail spread of the virus.

Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, including electronics, magnetic circuits and quantum mechanics. The book explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are incomplete pieces of overlapping information that must be strung together to find the most consistent model. This incomplete information can be understood as a set of non-exclusive observer results. Because they are non-exclusive, each observer registers different pictures of reality.