This book summarizes the recent advancements for biomechanics of injury and prevention in mechanism, application and developing frontiers. Biomechanics plays an important role in achieving safety, health, comfort, and a high quality of life by revealing injury mechanism and providing prevention methods. The book covers injury and prevention to the entire human body, from head to toe, including injury and prevention in sports, traffic, accident, clinic and so on. In addition, bionics prevention method inspired by woodpecker is also introduced. The book provides the reader with not only the mechanism of injury but also the advanced injury diagnosis, treatment, and prevention devices based on biomechanics.

Modeling Biomolecular Networks in Cells shows how the interaction between the molecular components of basic living organisms can be modelled mathematically and the models used to create artificial biological entities within cells. Such forward engineering is a difficult task but the nonlinear dynamical methods espoused in this book simplify the biology so that it can be successfully understood and the synthesis of simple biological oscillators and rhythm-generators made feasible. Such simple units can then be co-ordinated using intercellular signal biomolecules. The formation of such man-made multicellular networks with a view to the production of biosensors, logic gates, new forms of integrated circuitry based on "gene-chips" and even biological computers is an important step in the design of faster and more flexible "electronics". The book also provides theoretical frameworks and tools with which to analyze the nonlinear dynamical phenomena which arise from the connection of building units in a biomolecular network.

This book presents new systems and circuits for implantable biomedical applications, using a non-conventional way to transmit energy and data via ultrasound. The authors discuses the main constrains (e.g. implant size, battery recharge time, data rate, accuracy of the acoustic models) from the definition of the ultrasound system specification to the in-vitro validation.The system described meets the safety requirements for ultrasound exposure limits in diagnostic ultrasound applications, according to FDA regulations. Readers will see how the novel design of power management architecture will meet the constraints set by FDA regulations for maximum energy exposure in the human body. Coverage also includes the choice of the acoustic transducer, driven by optimum positioning and size of the implanted medical device. Throughout the book, links between physics, electronics and medical aspects are covered to give a complete view of the ultrasound system described. Provides a complete, system-level perspective on the use of ultrasound as energy source for medical implants; Discusses system design concerns regarding wireless power transmission and wireless data communication, particularly for a system in which both are performed on the same channel/frequency; Describes an experimental study on implantable battery powered biomedical systems; Presents a fully-integrated, implantable system and hermetically sealed packaging.

This book contains contributions from leading researchers in biomechanics, nanomechanics, tribology, contact mechanics, materials science and applications on various experimental techniques including atomic force microscopy (AFM) for studying soft, biomimetic and biological materials and objects. Biologists, physicists, researchers applying methods of contact mechanics and researchers testing materials using indentation techniques along with many other applied scientists will find this book a useful addition to their libraries. Moreover, several reviews in this book are written as introductions to several important and rather sophisticated research areas such as depth-sensing indentation, studying of biological cells by AFM probes, mechanics of adhesive contact and contact between viscoelastic (hereditary elastic) solids. The book containing new theoretical models, results of experimental studies and numerical simulations, along with reviews of above mentioned areas of contact mechanics in application to biological systems, would be beneficial for researchers in many areas of biology, medicine, engineering, mechanics and biomimetics.

"Biofilm Eradication and Prevention"s presents the basics of biofilm formation on medical devices, diseases related to this formation, and approaches pharmaceutical researchers need to take to limit this problem. Split into three parts, the first deals with the development and characterization of biofilm on the surfaces of implanted or inserted medical devices. Questions as to why biofilms form over medical device surfaces and what triggers biofilm formation are addressed. In the second section, the author discusses biofilm-mediated chronic infections occurred in various organs (eyes, mouth, wounds) and pharmaceutical and drug delivery knowledge gained from research in these area. The third part explores pharmaceutical approaches like lipid-and polymer-based drug delivery carriers for eradicating biofilm on device-related infections. In addition, this section also explores the topic of novel small molecule (like iron and its complexes/metal chelators) and a quorum-sensing inhibitors to control medical biofilm formation.

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The chapters presented in this volume cover such a diverse range of topics, with something for everyone. We present here chapters on 3D visualising novel stent grafts to aid treatment of aortic aneuryms; confocal microscopy constructed vascular models in patient education; 3D patient specific virtual reconstructions in surgery; virtual reality in upper limb rehabilitation in patients with multiple sclerosis and virtual clinical wards. In addition, we present chapters in artificial intelligence in ultrasound guided regional anaesthesia; carpal tunnel release visualisation techniques; visualising for embryology education and artificial intelligence data on bone mechanics. Finally we conclude with chapters on visualising patient communication in a general practice setting; digital facial depictions of people from the past; instructor made cadaveric videos, novel cadaveric techniques for enhancing visualisation of the human body and finally interactive educational videos and screencasts. This book explores the use of technologies from a range of fields to provide engaging and meaningful visual representations of the biomedical sciences. It is therefore an interesting read for researchers, developers and educators who want to learn how visualisation techniques can be used successfully for a variety of purposes, such as educating students or training staff, interacting with patients and biomedical procedures in general.

This timely book presents innovative technologies for use in the diagnosis, monitoring, and treatment of brain disease. These technologies offer exciting possibilities in the medical field owing to their low-cost, portability and safety. The authors address cerebrovascular diseases such as stroke, ischemia, haemorrhage, and vasospasm, these diseases having an ever-increasing societal relevance due to the global ageing population. The authors describe the potential of novel techniques such as microwave imaging and present innovative modalities for treatment of brain tumours using electromagnetic fields and nano-composites, as well as for monitoring brain temperature during surgery. Finally, Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy addresses the perspectives which arise from multi-modal multi-spectral EM modalities, which make a synergic use of the different portions of the electromagnetic spectrum. This text will be of interest to readers from various different areas, given the fundamental interdisciplinarity of the subject matter. This includes researchers or practitioners in the field of electrical engineering, applied physicists, and applied mathematicians working on imaging applications for biomedical and electromagnetic technologies. Neurologists and radiologists may also find this book of interest, as may graduate students in these areas.

The COVID-19 pandemic that started in 2019-2020 has led to a gigantic increase in modeling and simulation of infectious diseases. There are numerous topics associated with this epoch-changing event, such as (a) disease propagation, (b) transmission, (c) decontamination, and (d) vaccines. This is an evolving field. The targeted objective of this book is to expose researchers to key topics in this area, in a very concise manner. The topics selected for discussion have evolved with the progression of the pandemic. Beyond the introductory chapter on basic mathematics, optimization, and machine learning, the book covers four themes in modeling and simulation infectious diseases, specifically: Part 1: Macroscale disease propagation, Part 2: Microscale disease transmission and ventilation system design, Part 3: Ultraviolet viral decontamination, and Part 4: Vaccine design and immune response. It is important to emphasize that the rapid speed at which the simulations operate makes the presented computational tools easily deployable as digital twins, i.e., digital replicas of complex systems that can be inexpensively and safely optimized in a virtual setting and then used in the physical world afterward, thus reducing the costs of experiments and also accelerating development of new technologies.

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

This book describes the whole field of endoprosthetics, with all its potential, for practicing clinicians. The following aspects are dealt with in particular: indications and contraindications, surgical procedures (pros and cons), pain therapy, post-operative problems, infections, risks, necessary medication, length of medication, and post-operative patient care.

This book describes the essential requirements for the realization of neuromorphic systems, where memristive devices play a key role. A comprehensive description to organic memristive devices, including working principles and models of the function, preparation methods, properties and different applications is presented. A comparative analysis of organic and inorganic systems is given. The author discusses all aspects of current research in organic memristive devices: fabrication techniques, properties, synapse mimicking circuits, and neuromorphic systems (including perceptrons), etc. Describes requirements of electronic circuits and systems to be considered as neuromorphic systems; Provides a single-source reference to the state-of-the-art in memristive devices as key elements of neuromorphic systems; Provides a comparative analysis of advantages and drawbacks between organic and inorganic devices and systems; Includes a systematic overview of organic memristive devices, including fabrication methods, properties, synapse mimicking circuits, and neuromorphic systems; Discusses a variety of unconventional applications, based on bio-inspired circuits and neuromorphic systems.

This book focuses on biomaterials of different forms used for medical implants. The authors introduce the characteristics and properties of biomaterials and then dedicate special chapters to metallic, ceramic, polymeric and composite biomaterials. Case studies on sterilization methods by biomaterials are also presented. Finally, the authors describe the degradation and effects of biomaterials in living tissue.

The surge in COVID-19 cases leading to hospitalizations around the world quickly depleted hospital resources and reserves, forcing physicians to make extremely difficult life-or-death decisions on ventilator allocation between patients. Leaders in academia and industry have developed numerous ventilator support systems using both consumer- and industry-grade hardware to sustain life and to provide intermediate respiratory relief for hospitalized patients. This book is the first of its kind to discuss the respiratory pathophysiology underlying COVID-19, explain ventilator mechanics, provide and evaluate a repository of innovative ventilator support devices conceived amid the pandemic, and explain both hardware and software components necessary to develop an inexpensive ventilator support device. This book serves both as a historical record of the collaborative and innovative response to the anticipated ventilator shortage during the COVID-19 pandemic and as a guide for physicians, engineers, and DIY'ers interested in developing inexpensive transitory ventilator support devices.

This book highlights recent technological advances, reviews and applications in the field of cardiovascular engineering, including medical imaging, signal processing and informatics, biomechanics, as well as biomaterials. It discusses the use of biomaterials and 3D printing for tissue-engineered heart valves, and also presents a unique combination of engineering and clinical approaches to solve cardiovascular problems. This book is a valuable resource for students, lecturers and researchers in the field of biomedical engineering.

Urban parks and gardens are where people go to reconnect with nature and destress. But do they all provide the same benefits or are some better than others? What specific attributes set some green spaces apart? Can we objectively measure their impact on mental health and well-being? If so, how do we use this evidence to guide the design of mentally healthy cities? The Contemplative Landscape Model unveils the path to answer these questions. Rooted in landscape architecture and neuroscience, this innovative concept is described for the first time in an extended format, offering a deep dive into contemplative design and the science behind it. In the face of the global mental health crisis, and increasing disconnection from nature, design strategies for creating healthier urban environments are what our cities so sorely need. The book delves into the neuroscience behind contemplative landscapes, their key spatial characteristics, and practical application of the Contemplative Landscape Model through case studies from around the world. Landscape architects, urban planners, students, land managers, and anyone interested in unlocking the healing power of landscapes will find inspiration here.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

This volume contains the papers of the 1st Workshop IFToMM for Sustainable Development Goals (I4SDG), held online on November 25-26, 2021. The main topics of the workshop include the aspects of theory, design and practice of mechanism and machine science which are instrumental in reaching a sustainable development, such as: biomechanical engineering, sustainable energy systems, robotics and mechatronics, green tribology, computational kinematics, dynamics of machinery, industrial applications of mechanism design, gearing and transmissions, multibody dynamics rotor dynamics, vibrations, humanitarian engineering, and socio-technical systems for sustainable and inclusive development. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists, demonstrating that medical and service robotics will drive the technological and societal change in the coming decades.

The future of gene editing in humans will involve the use of CRISPR. How we think about the combination of the scientific, ethical, and moral aspects of this technology is paramount to the success or failure of CRISPR in humans. Unfortunately, the current scientific discussion around CRISPR in humans has left ethics trailing behind due to the rapid pace of innovation. New modes of ethics and stakeholder participation are needed to keep pace with rapid scientific advances and provide the necessary policy and ethical frameworks necessary to help CRISPR flourish as an important health care tool to treat human disease. This requires intense interdisciplinary collaboration and discussion between scientists and philosophers, policymakers and legal scholars, and the public. Dr. Michael W. Nestor (a neuroscientist who actively uses CRISPR in pre-clinical research) and Professor Richard Wilson (a philosopher who focuses on anticipatory ethics) set out to develop a new ethical approach considering the use of CRISPR in human targeted therapies. The field of anticipatory ethics is uniquely poised to tackle questions in fast-evolving technical areas where the pace of innovation outstrips traditional philosophical approaches. Furthermore, because of its "anticipatory" nature, this type of analysis provides the opportunity to look ahead and into the future concerning potential uses of CRISPR in humans, uses that are not currently possible. Nestor and Wilson collaborate both scientifically and philosophically in this book to forecast potential outcomes as the scientific and medical community goes beyond using CRISPR to correct genes that underlie diseases where a single gene is involved. Instead, Nestor and Wilson envision CRISPR in complex, multigenic disorders with a specific focus on the use of CRISPR to edit genes involved in mental traits like IQ or other cognitive characteristics. They argue that the use of CRISPR to modify genes that are potentially important for mental traits represents a particular category for special consideration from scientists, policymakers, the public, and other stakeholders. Nestor and Wilson explain why using CRISPR to alter mental states is very different from treating a disease like cancer by combining the latest scientific advancements with anticipatory ethics and philosophical phenomenology. Their analysis considers the role that mental states play in personhood and the lived experience-as genes that can change mental/cognitive attributes like IQ have wide-ranging effects on the lived experience in ways that are categorically different from other attributes. This book was written to set a non-exhaustive framework for shared understanding and discussion across disciplines and appeal to scientists and non-scientists alike. This appeal is made inclusively, inviting all stakeholders to engage in active dialogue about the appropriate context for using CRISPR and other gene-editing technologies in humans. It provides policy analysis and recommendations for assuring the most inclusive, equitable, and ethically sound use of CRISPR in humans, concerning its positive potential to treat mental conditions like depression, schizophrenia, Alzheimer's disease, autism, and the potential to induce other cognitive enhancements.

This contributed volume reviews the latest advances in all the new technologies currently developed for MagnetoEncephaloGraphy (MEG) recordings, as well as sensor technologies and integrated sensor arrays for on-scalp MEG. The book gives an account of the first MEG imaging studies and explores the new field of feasible, experimental paradigms of on-scalp MEG. This is an ideal book for engineers, researchers, and students in the neurosciences interested in MEG imaging.

Biomateriomics is the holistic study of biological material systems. While such systems are undoubtedly complex, we frequently encounter similar components -- universal building blocks and hierarchical structure motifs -- which result in a diverse set of functionalities. Similar to the way music or language arises from a limited set of music notes and words, we exploit the relationships between form and function in a meaningful way by recognizing the similarities between Beethoven and bone, or Shakespeare and silk. Through the investigation of material properties, examining fundamental links between processes, structures, and properties at multiple scales and their interactions, materiomics explains system functionality from the level of building blocks. Biomateriomics specifically focuses the analysis of the role of materials in the context of biological processes, the transfer of biological material principles towards biomimetic and bioinspired applications, and the study of interfaces between living and non-living systems. The challenges of biological materials are vast, but the convergence of biology, mathematics and engineering as well as computational and experimental techniques have resulted in the toolset necessary to describe complex material systems, from nano to macro. Applying biomateriomics can unlock Nature's secret to high performance materials such as spider silk, bone, and nacre, and elucidate the progression and diagnosis or the treatment of diseases. Similarly, it contributes to develop a de novo understanding of biological material processes and to the potential of exploiting novel concepts in innovation, material synthesis and design.

Managing Medical Devices within a Regulatory Framework helps administrators, designers, manufacturers, clinical engineers, and biomedical support staff to navigate worldwide regulation, carefully consider the parameters for medical equipment patient safety, anticipate problems with equipment, and efficiently manage medical device acquisition budgets throughout the total product life cycle. This contributed book contains perspectives from industry professionals and academics providing a comprehensive look at health technology management (HTM) best practices for medical records management, interoperability between and among devices outside of healthcare, and the dynamics of implementation of new devices. Various chapters advise on how to achieve patient confidentiality compliance for medical devices and their software, discuss legal issues surrounding device use in the hospital environment of care, the impact of device failures on patient safety, methods to advance skillsets for HTM professionals, and resources to assess digital technology. The authors bring forth relevant challenges and demonstrate how management can foster increased clinical and non-clinical collaboration to enhance patient outcomes and the bottom line by translating the regulatory impact on operational requirements.

This book presents a novel continuum finite deformation framework addressing the complex interactions among electrostatics, species transport, and mechanics in solid networks immersed in a fluid phase of solvent and ions. Grounded on cutting-edge multiphysics theories for soft active materials, the proposed model is primarily applied to ionic polymer metal composites (IPMCs). First, the influence of shear deformation on the IPMC response is analyzed through semi-analytical solutions obtained via the method of matched asymptotic expansions. Second, the novel electrochemo-poromechanical theory is used to predict the curvature relaxation and electric discharge that are observed in IPMC actuation and sensing, respectively, under a sustained stimulus. This newly formulated theory is, in turn, applied to biological cell clusters. Here, important mechanical considerations are integrated into classical bioelectrical models, thus offering novel insights into the interplay of mechanical and electrical signaling in the coordination of developmental processes.

Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services.