Biomedical Product and Materials Evaluation: Standards and Ethics provides a much-needed overview of the procedures, issues, standards and ethical issues in the early development of biomedical products. The book covers a range of key biomedical products, from 3D printed organs and blood derived products, to stem calls and decellularized tissue products. Each chapter reviews a single product type, associated materials, biomedical applications, proven development strategies, and potential challenges. The core focus of the book is on the standardization and ethical aspects of biomedical product development, with these elements addressed and discussed in chapters dedicated to product evaluation. This is a useful reference for academics, researchers and industry professionals in R&D groups with an interest in biomaterial research and production, as well as those working in the fields of biomedical engineering, biotechnology and toxicology.

In two editions spanning more than a decade, "The Electrical Engineering Handbook" stands as the definitive reference to the multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has expanded into a set of six books carefully focused on a specialized area or field of study. Each book represents a concise yet definitive collection of key concepts, models, and equations in its respective domain, thoughtfully gathered for convenient access.

Sensors, Nanoscience, Biomedical Engineering, and Instruments provides thorough coverage of sensors, materials and nanoscience, instruments and measurements, and biomedical systems and devices, including all of the basic information required to thoroughly understand each area. It explores the emerging fields of sensors, nanotechnologies, and biological effects. Each article includes defining terms, references, and sources of further information.

Encompassing the work of the world's foremost experts in their respective specialties, Sensors, Nanoscience, Biomedical Engineering, and Instruments features the latest developments, the broadest scope of coverage, and new material on multisensor data fusion and MEMS and NEMS.

Resident Stem Cells and Regenerative Therapy: Sources and Clinical Applications, Second Edition presents the main findings to date and the important factors to be considered when contemplating resident stem cells in regenerative therapies. Chapters on cardiac, brain, neural, liver, kidney, skeletal muscle, bone, pancreatic, skin and lung resident stem cells will assist in defining the level of success that has been achieved and the direction for the road ahead. With contributions from leading laboratories, open questions related to resident stem cells and regenerative therapies will also be presented for debate. In the last several decades, stem cells have greatly impacted the scientific and lay communities, providing huge advances in the treatment of devastating human diseases, including myocardial infarction, diabetes, muscular dystrophy, cystic fibrosis, cirrhosis, and osteoporosis. Alongside debates of induced pluripotent stem cells and embryonic stem cells has been the discovery of adult stem cells in many different tissues. While these organ resident or progenitor stem cells offer prospects to contribute to tissue regeneration, they also present challenges because of the complexity of organ structures.

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer's disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB (R) and IBM Watson (R).

Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software engineers, computer scientists and biomedical engineers to apply intelligent systems, artificial intelligence, machine learning, virtual reality and augmented reality to gather, transmit, analyze and deliver real-time clinical and biological data to clinicians, patients and researchers. Wearable telemedicine technology is currently establishing its place with large-scale impact in many healthcare sectors because information about patient health conditions can be gathered anytime and anywhere outside of traditional clinical settings, hence saving time, money and even lives.

Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment.

A volume in the new Principles and Applications in Engineering series, Tissue Engineering provides an overview of the major physiologic systems of current interest to biomedical engineers: cardiovascular, endocrine, nervous, visual, auditory, gastrointestinal, and respiratory. It contains useful definitions, tables of basic physiologic data, and an introduction to the literature. Then, the book reviews the status of tissue engineering of specific organs, including bone marrow, skeletal muscle, and cartilage. Readers will acquire a good understanding of the engineering and cell biological fundamentals of tissue engineering and will develop ideas for further development of this emerging and important field.

Musculoskeletal Tissue Engineering introduces the fundamental concepts and translational applications of musculoskeletal tissue engineering, in combination with emerging technologies and materials. Sections discuss Tissues and Technologies, covering a range of musculoskeletal tissues, including bone, cartilage, ligament and more. Each chapter in this section details core tissue engineering principles specific to each tissue type. Next, a Technologies section looks at the range of biomaterials used in musculoskeletal tissue engineering, focusing on biocompatibility of materials and interactions at the material-tissue interface. Other chapters cover nanotechnology, 3D printing, gene therapy, tissue chips, and more. This book offers an advanced reference text for researchers in biomedical engineering, materials science and regenerative medicine.

Quantitative Perfusion MRI: Techniques, Applications, and Practical Considerations, Volume 11 clearly and carefully explains the basic theory and MRI techniques for quantifying perfusion non-invasively in deep tissue, covering all aspects of perfusion imaging, from acquisition requirements to selection of contrast agents and appropriate pharmacokinetic models and for reliable quantification in different diseases and tissue types. Specifically, this book enables the reader to understand what microvascular functional parameters can be measured with perfusion MRI, learn the basic techniques to measure perfusion in different organs, apply the appropriate perfusion MRI technique to the organ of interest, and much more. This complete reference on quantitative perfusion MRI is highly suitable for both early and experienced researchers, graduate students and clinicians wishing to understand how quantitative perfusion MRI can apply to their application area of interest.

Global Health continues to provide readers with a comprehensive, up-to-date and thought-provoking outline and understanding of the constantly evolving global health landscape. In this new edition the authors have maintained the successful structure and organisation of the previous edition to examine and explain recent health changes and consider likely future patterns. New or expanded topics covered include: emerging and re-emerging infectious disease threats increasing awareness of, and interest in, antimicrobial resistance and superbugs terrorism, global conflict and health the new UN 2030 Agenda for Sustainable Development the drive for Universal Health Coverage (UHC) the use of information technology in global health substance abuse palliative and end-of-life-care ethical issues in global health. Using clear and original explanations of complex issues, this text makes extensive use of boxed case studies and international examples, with discussion questions posed for readers at the end of each chapter. Readers will also be able to take advantage of the new website that was designed to complement this book. Global Health is essential reading for students and researchers of global health, public health and development studies.

An indispensable guide to buffers and to understanding the principles behind their use. Helps the user to avoid common errors in preparing buffers and their solutions. A must for researchers in the biological sciences, this valuable book takes the time to explain something often taken for granted - buffers used in experiments. It answers the common questions such as: which buffer should I choose? What about the temperature effects? What about ionic strength? Why is the buffer with the biggest temperature variation used in PCR? It provides even the most experienced researchers with the means to understand the fundamental principles behind their preparation and use - an indispensable guide essential for everyone using buffers.

Tissue Engineering Using Ceramics and Polymers, Third Edition is a valuable reference tool for both academic researchers and scientists involved in biomaterials or tissue engineering, including the areas of bone and soft-tissue reconstruction, repair and organ regeneration. With its distinguished editors and international team of contributors, this book reviews the latest research and advances in this thriving area and how they can be used to develop treatments for disease states. New sections cover nanobiomaterials, drug delivery, advanced imaging and MRI for tissue engineering, and characterization of vascularized scaffolds. Technology and research in the field of tissue engineering has drastically increased within the last few years to the extent that almost every tissue and organ of the human body could potentially be regenerated with the aid of biomaterials.

Porous Silicon for Biomedical Applications, Second Edition, provides an updated guide to the diverse range of biomedical applications of porous silicon, from biosensing and imaging to tissue engineering and cancer therapy. Across biomedical disciplines, there is an ongoing search for biomaterials that are biocompatible, modifiable, structurally sound, and versatile. Porous silicon possesses a range of properties that make it ideal for a variety of biomedical applications, such as controllable geometry, tunable nanoporous structure, large pore volume/high specific surface area, and versatile surface chemistry. This book provides a fully updated and detailed overview of the range of biomedical applications for porous silicon. Part One offers the reader a helpful insight into the fundamentals and beneficial properties of porous silicon, including thermal properties and stabilization, photochemical and nonthermal chemical modification, protein modification, and biocompatibility. The book then builds on the systematic detailing of each biomedical application using porous silicon, from bioimaging and sensing to drug delivery and tissue engineering. This new edition also includes new chapters on in-vivo assessment of porous silicon, photodynamic and photothermal therapy, micro- and nanoneedles, Raman imaging, cancer immunotherapy, and more. With its acclaimed editor and international team of expert contributors, Porous Silicon for Biomedical Applications, Second Edition, is a technical resource and indispensable guide for all those involved in the research, development, and application of porous silicon and other biomaterials, while providing a comprehensive introduction for students and academics interested in this field.

Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independent Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips-with one strip per disk- and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book. The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID.

Fractional Order Systems and Applications in Engineering presents the use of fractional calculus (calculus of non-integer order) in the description and modelling of systems and in a range of control design and practical applications. The book covers the fundamentals of fractional calculus together with some analytical and numerical techniques, and provides MATLAB (R) codes for the simulation of fractional-order control (FOC) systems. The use of fractional calculus can improve and generalize well-established control methods and strategies. Many different FOC schemes are presented for control and dynamic systems problems. These extend to the challenging control engineering design problems of robust and nonlinear control. Practical material relating to a wide variety of applications including, among others, mechatronics, civil engineering, irrigation and water management, and biological systems is also provided. All the control schemes and applications are presented with either system simulation results or real experimental results, or both. Fractional Order Systems and Applications in Engineering introduces readers to the essentials of FOC and imbues them with a basic understanding of FOC concepts and methods. With this knowledge readers can extend their use of FOC in other industrial system applications, thereby expanding their range of disciplines by exploiting this versatile new set of control techniques.

Finite element analysis has been widely applied in mechanical, civil, and biomedical designs. This book aims to provide the readers comprehensive views of various material models with practical examples, which would help readers understand various materials, and build appropriate material models in the finite element analysis. This book is composed of four main parts: 1) metals, 2) polymers, 3) soils, and 4) modern materials. Each part starts with the structure and function of different materials and then follows the corresponding material models such as BISO, MISO, Chaboche model in metals, Arruda-Boyce model, Mooney-Rivlin model, Ogden model in polymers, Mohr-Coulomb model, Cam Clay model and Jointed Rock model in geomechanics, composites and shape memory alloys in modern materials. The final section presents some specific problems, such as metal forming process, combustion chamber, Mullins effect of rubber tire, breast shape after breast surgery, viscoelasticity of liver soft tissues, tunnel excavation, slope stability, orthodontic wire, and piezoelectric microaccelerometer. All modeling files are provided in the appendixes of the book. This book would be helpful for graduate students and researchers in the mechanical, civil, and biomedical fields who conduct finite element analysis. The book provides all readers with comprehensive understanding of modeling various materials.

Long-Acting Drug Delivery Systems: Pharmaceutical, Clinical, and Regulatory Aspects offers a comprehensive overview of the technical, clinical, regulatory and industrial perspectives on these drug delivery systems. The book follows a sequential order, beginning with the current technical state-of-the-field and moving on to more clinical, industrial and regulatory topics. Opening chapters describe the current needs and potential applications of implantable and long-acting therapeutic approaches. The book goes on to describe established and novel long-acting systems, with a focus on the materials used to prepare these systems and their biocompatibility. Importantly, applied topics such as scale-up manufacturing, products under clinical trials and regulatory aspects are covered, offering the reader a holistic view of this rapidly growing field.

Contents:
1. The amg ARTHOS and ARTHOS^TInert Coronary Stent Implantation Systems 2. The Antares Starflex Coronary Stent System 3. The AST SLK-view Stent and Delivery System 4. The BeStent2 Stent 5. The biodivYsio AS, OC, SV Stent Range with PC Technology^TTM 6. The Bx VELOCITY^TTM Stent 7. The Carbostent SIRIUS Stent 8. The Cordynamic Apolo Stent 9. The Coroflex and Coroflex Delta Coronary Stent Systems 10. The Duraflex^TTM Coronary Stent System 11. The Express Coronary Stent System 12. The GENIC DYLN Stent 13. The GENIC, GENIC SV and GENIC LV Stent Systems 14. The Genius Coronary Stent 15. The Igaki-Tamai Stent 16. The JOSTENT Coronary Stent Range 17. The Lunar Coronary Stent System 18. The Maeo Stent 19. The Med-X Flexy Stent 20. The Medtronic AVE Modular Stents ^TTM Coronary Stent System 23. The Multi-Link RX PIXEL^TTM Coronary Stent System 24. The Multi-Link RX Ultra^TTM Coronary Stent System 25. The Nexus and Nexus II Stents 26. The NIR and NIRFLEX Coronary Stents 27. The Prolink Stent 28. The ProPass Stent 29. The Coronary R Stent^TTM 30. The Rithron and Rithron-XR Coronary Stents 31. The Seaquest Stent^TTM 32. The Spiral Force Stent 33. The Tsunami Coronary Stent System 34. The Zebra Stent Section II: Drug-Eluting Stents 35. The Background, Rationale for and Current Status of the ELUTES (EvaLUation of paclitaxel Elusting Stent) Trial 36. The Biocompatibles' Drug-Eluting Stents 37. The Boston Scientific Antiproliferative, Paclitaxel Eluting Stents (TAXUS) 38. The Multi-Link TETRA D^TTM Drug-Coated Coronary Stent System 39. The Ohytis DLC (Diamond-Like Carbon) Coated Stents 40. The Phytis Double-Coated Stent 41. The Quaman QuaDDS-QP2 Stent 42. The Sirolimus-Eluting Bx VELOCITY^TTM Stent: Preclinical Data 43. The Sirolimus-Eluting Bx VELOCITY^TTM Stents: Clinical Data

Human Orthopaedic Biomechanics: Fundamentals, Devices and Applications covers a wide range of biomechanical topics and fields, ranging from theoretical issues, mechanobiology, design of implants, joint biomechanics, regulatory issues and practical applications. The book teaches the fundamentals of physiological loading and constraint conditions at various parts of the musculoskeletal system. It is an ideal resource for teaching and education in courses on orthopedic biomechanics, and for engineering students engaged in these courses. In addition, all bioengineers who have an interest in orthopedic biomechanics will find this title useful as a reference, particularly early career researchers and industry professionals. Finally, any orthopedic surgeons looking to deepen their knowledge of biomechanical aspects will benefit from the accessible writing style in this title.

In its second, extensively revised second edition, Semiconducting Silicon Nanowires for Biomedical Applications reviews the fabrication, properties, and biomedical applications of this key material. The book begins by reviewing the basics of growth, characterization, biocompatibility, and surface modification of semiconducting silicon nanowires. Attention then turns to use of these structures for tissue engineering and delivery applications, followed by detection and sensing. Reflecting the evolution of this multidisciplinary subject, several new key topics are highlighted, including our understanding of the cell-nanowire interface, latest advances in associated morphologies (including silicon nanoneedles and nanotubes for therapeutic delivery), and significantly, the status of silicon nanowire commercialization in biotechnology. Semiconducting Silicon Nanowires for Biomedical Applications is a comprehensive resource for biomaterials scientists who are focused on biosensors, drug delivery, and the next generation of nano-biotech platforms that require a detailed understanding of the cell-nanowire interface, along with researchers and developers in industry and academia who are concerned with nanoscale biomaterials, in particular electronically-responsive structures.

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance.

Research powers innovation and technoscientific advance, but it is due for a rethink, one consistent with its deeply holistic nature, requiring deeply human nurturing. Research is a deeply human endeavor that must be nurtured to achieve its full potential. As with tending a garden, care must be taken to organize, plant, feed, and weed-and the manner in which this nurturing is done must be consistent with the nature of what is being nurtured. In The Genesis of Technoscientific Revolutions, Venkatesh Narayanamurti and Jeffrey Tsao propose a new and holistic system, a rethinking of the nature and nurturing of research. They share lessons from their vast research experience in the physical sciences and engineering, as well as from perspectives drawn from the history and philosophy of science and technology, research policy and management, and the evolutionary biological, complexity, physical, and economic sciences. Narayanamurti and Tsao argue that research is a recursive, reciprocal process at many levels: between science and technology; between questions and answer finding; and between the consolidation and challenging of conventional wisdom. These fundamental aspects of the nature of research should be reflected in how it is nurtured. To that end, Narayanamurti and Tsao propose aligning organization, funding, and governance with research; embracing a culture of holistic technoscientific exploration; and instructing people with care and accountability.

Freeze Drying of Pharmaceutical Products provides an overview of the most recent and cutting-edge developments and technologies in the field, focusing on formulation developments and process monitoring and considering new technologies for process development. This book contains case studies from freeze dryer manufacturers and pharmaceutical companies for readers in industry and academia. It was contributed to by lyophilization experts to create a detailed analysis of the subject matter, organically presenting recent advancements in freeze-drying research and technology. It discusses formulation design, process optimization and control, new PAT-monitoring tools, multivariate image analysis, process scale-down and development using small-scale freeze-dryers, use of CFD for equipment design, and development of continuous processes. This book is for industry professionals, including chemical engineers and pharmaceutical scientists.

Spatiotemporal Modeling of Stem Cell Differentiation: Partial Differentiation Equation Analysis in R covers topics surrounding how stem cells evolve into specialized cells during tissue formation and in diseased tissue regeneration. As the process of stem cell differentiation occurs in space and time, the mathematical modeling of spatiotemporal development is expressed in this book as systems of partial differential equations (PDEs). In addition, the book explores important feature of six PDE model which can represent, for example, the development of tissue in organs. In addition, the book covers the computer-based implementation of example models through routines coded (programmed) in R. The routines described in the book are available from a download link so that example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the stem differentiation models, such as changes in the PDE parameters (constants) and the form of the model equations.