Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data.

This book will give insight into emerging semiconductor devices from their applications in electronic circuits, which are the backbone of electronic equipment. It provides desired exposure to the ever-growing field of low-power electronic devices and their applications in nanoscale devices, memory design, and biosensing applications. Tunneling Field Effect Transistors: Design, Modeling, and Applications bring researchers and engineers from various disciplines of the VLSI domain together to tackle the emerging challenges in the field of nanoelectronics and applications of advanced low-power devices. The book begins by discussing the challenges of conventional CMOS technology from the perspective of low-power applications. The book also reviews the basic science and developments of subthreshold swing technology and recent advancements in the field. The authors discuss the impact of semiconductor materials and architecture designs on TFET devices and the performance and usage of FET devices in various domains like nanoelectronics, Memory Devices, and biosensing applications. The authors also cover a variety of FET devices, such as MOSFETs and TFETs, with various structures based on the tunneling transport phenomenon. The contents of the book have been designed and arranged in such a way that Electrical Engineering students, researchers in the field of nanodevices and device-circuit codesign, as well as industry professionals working in the domain of semiconductor devices, will find the material useful and easy to follow.

The book reports on advanced topics in the areas of wearable robotics research and practice. It focuses on new technologies, including neural interfaces, soft wearable robots, sensors and actuators technologies, and discusses important regulatory challenges, as well as clinical and ethical issues. Based on the 4th International Symposium on Wearable Robotics, WeRob2018, held October 16-20, 2018, in Pisa, Italy, the book addresses a large audience of academics and professionals working in government, industry, and medical centers, and end-users alike. It provides them with specialized information and with a source of inspiration for new ideas and collaborations. It discusses exemplary case studies highlighting practical challenges related to the implementation of wearable robots in a number of fields. One of the focus is on clinical applications, which was encouraged by the colocation of WeRob2018 with the International Conference on Neurorehabilitation, INCR2018. Additional topics include space applications and assistive technologies in the industry. The book merges together the engineering, medical, ethical and political perspectives, thus offering a multidisciplinary, timely snapshot of the field of wearable technologies.

This book presents state-of-the-art experimental and modelling techniques for skin biophysics that are currently used in academic and industrial research. It also identifies current and future challenges, as well as a growing number of opportunities in this exciting research field. The book covers the basics of skin physiology, biology, microstructural and material properties, and progressively introduces the reader to established experimental characterisation protocols and modelling approaches. Advanced topics in modelling theories and numerical implementation are also presented. The book focusses especially on: 1. Basic physiology, molecular biology, microstructural and material properties of the skin. 2. Experimental characterisation techniques for the skin (including imaging): in vivo and in vitro techniques and combination of those with in silico approaches. 3. State-of-the-art constitutive models of the skin: elastic, anelastic and mechanobiological formulations (e.g. growth, ageing, healing). 4. Applications: mechanics, damage, biological growth, healing, ageing and skin tribology. This book is addressed to postgraduate students in biomedical/mechanical/civil engineering, (bio)physics and applied mathematics, postdoctoral researchers, as well as scientists and engineers working in academia and industry engaged in skin research, particularly, if at the cross-roads of physical experiments, imaging and modelling. The book is also be of interest to clinicians/biologists who wish to learn about the possibilities offered by modern engineering techniques for skin science research and, by so doing, provide them with an incentive to broaden their outlook, engage more widely with the non-clinical research communities and, ultimately, help cross-fertilising new ideas that will lead to better treatment plans and engineering solutions.

The increasing interest in the bio-impedance analysis in various fields has increased the demand for portable and low-cost impedance analyzers that can be used in the field. Simplifying the hardware is crucial to maintaining low-cost and portability, but this is not an easy task due to the need for accurate phase and magnitude measurements. This book discusses different portable impedance analyzers design techniques. Additionally, complete designs using two different approaches are reported. The first approach utilizes a commercially available single chip solution while the second one is based on a new measurement technique that eliminates the need to measure the phase by using a software algorithm to extract it from the magnitude information. Applications to the measurement of fruit bio-impedance are emphasized and compared with measurements from professional stand-alone impedance analyzers.

Provides derivation of the models used for calculating the risk and hazard of central oxygen toxicity Improves oxygen diving procedures described in the US Navy Diving Manual Includes procedures applicable to undertaking nitrox dives in combination with oxygen dives Pitches the material at highest technology readiness levels i.e. 9 TRL Aims to increase tactical capabilities of conducting diving special operations

This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton's method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter.

This book provides readers with an introduction to the materials and devices necessary for flexible sensors and electronics, followed by common techniques for fabrication of such devices and system-level integration. Key insights into fabrication and processing will guide readers through the tradeoff choices in designing such platforms. A comprehensive review of two specific, flexible bioelectronic platforms, related to smart bandages for wound monitoring and thread-based diagnostics for wearable health, will demonstrate practical application at the system level. The book also provides a unique electrical engineering perspective by reviewing circuit architectures for low noise signal conditioning of weak signals from sensors,, and for low power analog to digital converters for signal acquisition. To achieve energy autonomy, authors provide several example of CMOS energy harvesting front end circuits and voltage boosters. Beyond circuit architectures, the book also provides a review of the modern theory of sampling and recovery of sparse signals, also known as compressed sensing. They then highlight how these principles can be leveraged for design and implementation of efficient signal acquisition hardware and reliable processing of acquired data for flexible electronic platforms.

Assurance of Sterility for Sensitive Combination Products and Materials: New Paradigms for the Next Generation of Medical Devices and Pharmaceuticals discusses the medical device industry and existing challenges regarding the exciting new world of sensitive combination products (SCPs) and their terminal sterilization. This book reassesses the current assumptions to assure the patient's best interests are met in the development of increasingly rigorous sterilization methods used to counteract MRSA and other 'super-bugs'. In addition, the book discusses the special challenges faced with implantable medical devices, sterilization requirements and further methods needed for material selection and the design process. This book is unique in taking a holistic, end-to-end approach to sterilization, with a particular focus on materials selection and product design.

Control Systems Design of Bio-Robotics and Bio-Mechatronics with Advanced Applications delivers essential and advanced bioengineering information on the application of control and robotics technologies in the life sciences. Judging by what we have witnessed so far, this exciting field of control systems and robotics in bioengineering is likely to produce revolutionary breakthroughs over the next decade. While this book is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs, it will also appeal to medical researchers and practitioners who want to enhance their quantitative understanding of physiological processes.

Octacalcium Phosphate Biomaterials: Past, Present and Future is a comprehensive study of octacalcium phosphate (OCP), a next generation biomaterial for bone regeneration. By focusing both on fundamental research and the use of OCP as a scaffold material, this book explores its potential to deliver improved clinical results. Early chapters in the book discuss OCP's effects on bone cell activity, cellular interactions and their role in bone formation, repair and replacement. Later chapters cover topics such as drug delivery, synthesis methodologies and future analysis techniques. This will be an invaluable and unique resource for researchers, clinicians, students and industrialists in the area of orthopedics and dentistry. OCP is known to be a pre-cursor to hydroxyapatite in the human biomineralization process that forms bone and tooth enamel. Research studies that have emerged in recent years suggest OCP's tremendous potential as a bioactive material.

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest.

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data pre-processing including scaling, correction, trimming, normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative disorders; neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis Explores data pre-processing techniques involved in diagnosis Include real-time case studies and examples This book is aimed at graduate students and researchers in biomedical imaging and machine learning.

This book presents select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses interdisciplinary areas such as automobile engineering, mechatronics, applied and structural mechanics, bio-mechanics, biomedical instrumentation, ergonomics, biodynamic modeling, nuclear engineering, agriculture engineering, and farm machineries. The contents of the book will benefit both researchers and professionals.

Spinal Cord Injury (SCI) Repair Strategies provides researchers the latest information on potential regenerative approaches to spinal cord injury, specifically focusing on therapeutic approaches that target regeneration, including cell therapies, controlled drug delivery systems, and biomaterials. Dr. Giuseppe Perale and Dr. Filippo Rossi lead a team of authoritative authors in academia and industry in this innovative reference on the field of regenerative medicine and tissue engineering. This book presents all the information readers need to understand the current and potential array of techniques, materials, applications and their benefits for spinal cord repair.

The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. The book- Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems Highlight privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. Discusses nature-inspired computing algorithms for the brain-computer interface. Covers graph neural network application in the medical domain. Provides insights into the state-of-the-art Artificial Intelligence and Smart Computing enabling and emerging technologies. This book text discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Highlights the contributions of different optimization techniques, decision analytics (predictive, prescriptive, and descriptive), multi-criteria decision making "Helps develop intelligent machines to provide solutions to real-world problems, which are not modelled or are too difficult to model mathematically in hospital management systems " Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, quantum computing will be rigorously applied to smart cloud computing Explores evolutionary algorithms that demonstrate their ability as robust approaches to cope with the fundamental steps of image processing, image analysis, and computer vision pipeline (e.g., restoration, segmentation, registration, classification, reconstruction, or tracking), Creates a bridge between Industrial Engineering concepts and Computational Intelligence for designing complex and convoluted hospital management problems

Most of the real-life signals are non-stationary in nature. The examples of such signals include biomedical signals, communication signals, speech, earthquake signals, vibration signals, etc. Time-frequency analysis plays an important role for extracting the meaningful information from these signals. The book presents time-frequency analysis methods together with their various applications. The basic concepts of signals and different ways of representing signals have been provided. The various time-frequency analysis techniques namely, short-time Fourier transform, wavelet transform, quadratic time-frequency transforms, advanced wavelet transforms, and adaptive time-frequency transforms have been explained. The fundamentals related to these methods are included. The various examples have been included in the book to explain the presented concepts effectively. The recently developed time-frequency analysis techniques such as, Fourier-Bessel series expansion-based methods, synchrosqueezed wavelet transform, tunable-Q wavelet transform, iterative eigenvalue decomposition of Hankel matrix, variational mode decomposition, Fourier decomposition method, etc. have been explained in the book. The numerous applications of time-frequency analysis techniques in various research areas have been demonstrated. This book covers basic concepts of signals, time-frequency analysis, and various conventional and advanced time-frequency analysis methods along with their applications. The set of problems included in the book will be helpful to gain an expertise in time-frequency analysis. The material presented in this book will be useful for students, academicians, and researchers to understand the fundamentals and applications related to time-frequency analysis.

Our increased understanding of health and disease coupled with major technologic advances has resulted in rapid and significant changes in the practice of medicine. How we prepare physicians for clinical practice 20, 30, or 40 years from now is of paramount importance to medical educators, to the future professionals, and to society at large. Implementing Biomedical Innovations into Health, Education, and Practice delves into this important question, discussing the effects of precision medicine, bioinformatics, biologic and environmental forces, and societal shifts on the physician's approach to diagnosis and therapy. The author interviewed world-renowned physicians, medical educators, healthcare leaders, and research professionals-their insights and quotes are woven throughout the narrative. Professionally illustrated, this relevant resource is a must-have for all medical professionals who incorporate technology and biomedical innovations in their research and clinical practice. It encourages thoughtful analysis on adapting and developing the foundational knowledge, skills, and aptitudes of future physicians and other healthcare professionals, and it belongs in your library. "Having completed deanship at one of America's leading medical schools, Jim Woolliscroft produces an insightful, contemplative projection of the likely skill and behavioral needs of the physician workforce for the mid-21st century...The result is a playbook for physician training that responds effectively to the daunting challenges faced in the coming transformation of the role of physicians in protecting the health of our nation." James L. Madara, MD, CEO, American Medical Association "Dr. Woolliscroft's provocative new book will become must reading for all who are serious about educating the next generation of physicians and health care leaders. Leveraging his own experience as a consummate educator and interviews with numerous thought leaders, he identifies the uncertainties, challenges and disruptions to the practice of medicine in the decades ahead. The implications and imperatives for the coming generations of physicians are compelling and of critical importance for care givers, policy makers, and most pointedly educators in the U.S. and around the world." Gary S. Kaplan MD, Chairman and CEO, Virginia Mason Health System "This ambitious masterpiece, by one of the leading medical educators of our time, fully captures the ongoing changes and disruptions in medicine today, and how they will influence the care of patients and the training of young physicians in the future." Eric Topol, MD, Executive Vice President, Scripps Research, Author of Deep Medicine

Carbon and Graphene Quantum Dots for Biomedical Applications provides a single point of reference for understanding the biomedical potential of quantum dots. The book covers the synthesis and properties of various carbon and graphene quantum dots, with advanced discussion on the challenges faced during synthesis according to type, structure, size, functionalization and composition. Key biomedical applications are described, including bioimaging, biosensing, antimicrobial and drug delivery. The benefits and issues of utilizing carbon and graphene quantum dots in biomedical applications are addressed in detail, evaluating vital aspects such as cytotoxicity, inhibition concentration and point-of-care-specific challenges. This book offers an exciting and thorough overview of this emerging area for academics and researchers in the fields of materials science, biomedical engineering, nanotechnology, and pharmaceutical science, as well as for R&D groups in biosensing and drug development.

This book offers a comprehensive and timely overview of the latest developments in the field of biomechanics and extensive knowledge of tissue structure, function, and modeling. Gathering chapters written by authoritative scientists, it reports on a range of continuum and computational models of solids, and related experimental works, for biomechanical applications. It discusses cutting-edge advances such as constitutive modeling and computational simulation of biological tissues and organs under physiological and pathological conditions, and their mechanical characterization. It covers innovative studies on arteries, heart, valvular tissue, and thrombus, brain tumor, muscle, liver, kidney, and stomach, among others. Written in honor of Professor Gerhard A. Holzapfel, the book provides specialized readers with a thorough and timely overview of different types of modeling in biomechanics, and current knowledge about biological structures and function.

This book discusses applications of pluripotent stem cells to study eye disease in vitro and to create novel therapies for degenerative eye diseases. Chapters are contributed by experts in the field and cover such topics as the use of pluripotent stem cells in 2D and 3D engineering of ocular tissues for disease modelling and drug testing as well as approaches to replace degenerated RPE and photoreceptors in macular degeneration and retinitis pigmentosa. Pluripotent Stem Cells in Eye Disease Therapy presents a comprehensive discussion of basic science and clinical applications and is an indispensable resource for everyone from advanced graduate students to advanced professionals who want to learn about the potential of stem cell biology and its role in the field of retinal diseases.

This volume comprises the latest developments in both fundamental science and patient-specific applications, discussing topics such as: cellular mechanics, injury biomechanics, biomechanics of the heart and vascular system, algorithms of computational biomechanics for medical image analysis, and both patient-specific fluid dynamics and solid mechanics simulations. With contributions from researchers world-wide, Computational Biomechanics for Medicine: Measurments, Models, and Predictions provides an opportunity for specialists in the field to present their latest methodologies and advancements.

Describes how nanomaterial functionalization is being used to create more effective sensors. Discusses various synthesis procedures, characterization techniques, and which nanomaterials should be used for sensing applications. Provides an in-depth look into oxide nanostructures, carbon nanostructures, and 2D material fabrication. Explores the challenges of using nanoscale sensors for large-scale industrial applications.

Biointegration of Medical Implant Materials, Second Edition, provides a unique and comprehensive review of recent techniques and research into material and tissue interaction and integration. New sections discuss soft tissue integration, with chapters on the biocompatibility of engineered stem cells, corneal tissue engineering, and vascular grafts. Other sections review tissue regeneration, inorganic nanoparticles for targeted drug delivery, alginate based drug delivery devices, and design considerations, with coverage of the biocompatibility of materials and their relevance to drug delivery and tissue engineering. With its distinguished editor and team of international contributors, this book is ideal for medical materials scientists and engineers in industry and academia.