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Books > Medicine > General issues > Medical equipment & techniques > General
Electronic Assistive Technology (EAT) is a subset of a wider range of products and services known as Assistive Technology (AT). AT is designed to support and enable people with disabilities, either acquired or congenital, to participate in activities with greater independence and safety. With a global aging population, it has an important role to play in enabling and supporting those with disability and their carers. Handbook of Electronic Assistive Technology discusses a range of commonly available or emerging electronic assistive technologies. It provides historical background, advice when assessing for these devices and references different models of provision. It includes both medical and engineering aspects of provision. It is anticipated that the book will support students, trainees, and newly qualified Assistive Technology Practitioners to develop their understanding of the field, by considering the variables that could potentially influence the decision-making process when assessing for and providing this equipment. It also provides a reference point for those already practicing in this field and offers coverage of a broader range of technologies than clinicians may be exposed to, in their daily work This is the first reference book to focus on a comprehensive set of electronic assistive technologies and discuss their clinical application.
A complete case study with all coding sequences from the bacteria Borrellia burgdorferi illustrates how multivariate analyses reveals evolutionary mechanisms acting at the molecular level. They are either mutationnal (symmetric and asymmetric directionnal mutation pressure) or selective (selection against head-on collisions or linked to gene expressivity or subcellular location).
Textiles play a vital role in the manufacture of various medical
devices, including the replacement of diseased, injured or
non-functioning organs within the body. Biotextiles as medical
implants provides an invaluable single source of information on the
main types of textile materials and products used for medical
implants. The first part of the book focuses on polymers, fibers
and textile technologies, and these chapters discuss the
manufacture, sterilization, properties and types of biotextiles
used for medical applications, including nanofibers, resorbable
polymers and shaped biotextiles. The chapters in part two provide a
comprehensive discussion of a range of different clinical
applications of biotextiles, including surgical sutures, arterial
prostheses, stent grafts, percutaneous heart valves and drug
delivery systems.
As medical devices become more intricate, with an increasing number
of components made from a wide range of materials, it is important
that they meet stringent requirements to ensure that they are safe
to be implanted and will not be rejected by the human body. Joining
and assembly of medical materials and devices provides a
comprehensive overview of joining techniques for a range of medical
materials and applications.
The effective sterilisation of any material or device to be
implanted in or used in close contact with the human body is
essential for the elimination of harmful agents such as bacteria.
Sterilisation of biomaterials and medical devices reviews
established and commonly used technologies alongside new and
emerging processes.
With a rising population and the increasing range of textiles for
medical products, the need to understand and improve medical
textiles is gaining in importance. The Handbook of medical textiles
provides an overview of the different types of medical textiles
currently available as well as specific information on more
specialised topics and applications.
This book provides a foundation for understanding the fundamentals
of biomedical informatics, which deals with the storage, retrieval,
and use of biomedical data for biological problem solving and
medical decision making. It covers the application of these
principles to the three main biomedical domains of basic biology,
clinical medicine, and public health. The author offers a coherent
summary, focusing on the three core concept areas of biomedical
data and knowledge representation, biomedical information access,
biomedical decision making, and information and technology use in
biomedical contexts.
This volume examines recent developments in the use of intelligent materials and systems for drug delivery. Controlled release technology is moving from being a simple carrier of active agents to becoming a powerful and flexible method that permits subtle modulation of the delivery profile based on the needs of the biological host. The chapters collected here cover recent advances in materials with responsive properties, novel concepts in controlled release technology, new applications, and microanalytical techniques for rapid and accurate measurements of small samples.
This book focuses on broadly defined areas of chemical information science- with special emphasis on chemical informatics- and computer-aided molecular design. The computational and cheminformatics methods discussed, and their application to drug discovery, are essential for sustaining a viable drug development pipeline. It is increasingly challenging to identify new chemical entities and the amount of money and time invested in research to develop a new drug has greatly increased over the past 50 years. The average time to take a drug from clinical testing to approval is currently 7.2 years. Therefore, the need to develop predictive computational techniques to drive research more efficiently to identify compounds and molecules, which have the greatest likelihood of being developed into successful drugs for a target, is of great significance. New methods such as high throughput screening (HTS) and techniques for the computational analysis of hits have contributed to improvements in drug discovery efficiency. The SARMs developed by Jurgen and colleagues have enabled display of SAR data in a more transparent scaffold/functional SAR table. There are many tools and databases available for use in applied drug discovery techniques based on polypharmacology. The cheminformatics approaches and methodologies presented in this volume and at the Skolnik Award Symposium will pave the way for improved efficiency in drug discovery. The lectures and the chapters also reflect the various aspects of scientific enquiry and research interests of the 2015 Herman Skolnik award recipient.
This book tells the extraordinary story of how the function of the first - and so far almost the only - human organ was replaced by a machine, and the "artificial kidney" entered medical and public folk-lore. A practical artificial kidney, or dialyser, came about by advances in science followed by the acquisition of new synthetic materials which made the application of these ideas possible. However it was the dedication and persistence of a number of talented pioneers who pressed ahead against professional opposition to achieve success, first in the treatment of temporary, recoverable kidney failure, and then permanent renal shut-down which made it a success. The apparent high cost and limited availability of this form of treatment immediately raised ethical questions which had never been questioned before, centering around equity of access to treatment, when and if treatment could be denied, and - worst of all - the agonising decision of when, once established, it should be stopped. Spiralling costs as the true number of people with kidney failure became evident raised major political and financial questions, which were addressed in different countries in different ways which reflected - but also helped change - patterns of how medical care is provided. In developed countries, the problem could be solved by allocating a disproportionate amount of money to the treatment of relatively few kidney patients, but in the developing world the cost of treatment still limits its availability, as it does all forms of modern health care. Nevertheless, today almost one million people world-wide are maintained alive following terminal kidney failure, two thirds of them by various forms of dialysis and the remainder bearing kidney transplants, almost always placed after a period on dialysis. The story is also the sum of the often heroic lives of these hundreds of thousands of patients, a few of whom have today been maintained alive and active for more than 35 years, and many of whom suffered known, but also unexpected complications as a result of their treatment.
Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods will focus on sorting approaches across a wide range of interesting techniques and research disciplines. The applications which have been and can be solved by these techniques are more and more important in current real-world decision-making problems. Therefore, the book provides a clear overview of MCDM sorting methods and the different tools which can be used to solve real-world problems by revising such tools and characterizing them according to their performance and suitability for different types of problems. The book is aimed at a broad audience including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. The book may also be useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics, as new developments in multi-criteria decision making.
Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting.
Mathematical Modeling, Simulations, and Artificial Intelligence for Emergent Pandemic Diseases: Lessons Learned from COVID-19 includes new research, models and simulations developed during the COVID-19 pandemic into how mathematical methods and practice can impact future response. Chapters go beyond forecasting COVID-19, bringing different scale angles and mathematical techniques (e.g., ordinary differential and difference equations, agent-based models, artificial intelligence, and complex networks) which could have potential use in modeling other emergent pandemic diseases. A major part of the book focuses on preparing the scientific community for the next pandemic, particularly the application of mathematical modeling in ecology, economics and epidemiology. Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.
Emerging Practices in Telehealth: Best Practices in a Rapidly Changing Field is an introduction to telehealth basics, best practices and implementation methods. The book guides the reader from start to finish through the workflow implementation of telehealth technology, including EMRs, clinical workflows, RPM, billing systems, and patient experience. It also explores how telehealth can increase healthcare access and decrease disparities across the globe. Practicing clinicians, medical fellows, allied healthcare professionals, hospital administrators, and hospital IT professionals will all benefit from this practical guidebook.
Polymeric materials offer a high level of versatility due to the range of applications possible within the biomedical and clinical fields - including wound closure - particularly in comparison to metals or ceramics. These specialised materials also allow for a diverse array of therapeutic effects. Although there have been advances in improving polymeric materials for surgical sutures, there is little information available regarding improving the therapeutic value of sutures, and advanced technologies used to implement this improvement. Advanced Technologies and Polymer Materials for Surgical Sutures provides thorough coverage on suture materials with improved mechanical and therapeutic properties that can improve quality of life; chapter topics include drug-releasing kinetics of sutures, shape memory polymer sutures and future trends. This book is a useful resource for academics and researchers in the materials science and biomedical engineering fields, as well as professionals in biomaterials and biotextiles development and clinicians looking to learn more about suture material properties and suture/body interactions.
Industrial Tomography: Systems and Applications, Second Edition thoroughly explores the important techniques of industrial tomography, also discusses image reconstruction, systems, and applications. This book presents complex processes, including the way three-dimensional imaging is used to create multiple cross-sections, and how computer software helps monitor flows, filtering, mixing, drying processes, and chemical reactions inside vessels and pipelines. This book is suitable for materials scientists and engineers and applied physicists working in the photonics and optoelectronics industry or in the applications industries.
3D Bioprinting and Nanotechnology in Tissue Engineering and Regenerative Medicine, Second Edition provides an in-depth introduction to bioprinting and nanotechnology and their industrial applications. Sections cover 4D Printing Smart Multi-responsive Structure, Cells for Bioprinting, 4D Printing Biomaterials, 3D/4D printing functional biomedical devices, 3D Printing for Cardiac and Heart Regeneration, Integrating 3D printing with Ultrasound for Musculoskeletal Regeneration, 3D Printing for Liver Regeneration, 3D Printing for Cancer Studies, 4D Printing Soft Bio-robots, Clinical Translation and Future Directions. The book's team of expert contributors have pooled their expertise in order to provide a summary of the suitability, sustainability and limitations of each technique for each specific application. The increasing availability and decreasing costs of nanotechnologies and 3D printing technologies are driving their use to meet medical needs. This book provides an overview of these technologies and their integration.
Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.
Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses.
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. |
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