Presents the state of the art in conductive composite materials and their application in flexible strain sensors Uniquely combines the processing, structure, properties, and applications of conductive polymer composites Integrates theory and practice Benefits plastics converters who wish to take full advantage of the potential of conductive plastic materials

Explains theory and practical applications of nanomaterials as antiviral agents Reviews upscaling of nanomaterials from laboratory to fabrication stage Illustrates nanocurcumin, silver nanoparticles, and carbon nanoparticles for biomedical applications Highlights role of nanotechnology in effectively combating viral infections and pandemics Includes case studies of specific pharma companies

This comprehensive compendium provides an up-to-date scientific source of biomedical engineering principles of 'replacement parts and assist devices' for the bionic man. It covers biomechanics, biochemistry, rehabilitation, tissue engineering, and sports science, as well as applications in cardiovascular, visual, auditory, and neurological systems.The useful reference text benefits students, scientists, and laymen keen in understanding the fundamental underlying principles of biomedical devices and procedures, along with recent advances in transplant methodology, gene therapy, stem cell research, and sports science.This unique volume provides numerous test questions in selected chapters with answers in the Appendix. Numerous color figures provide additional emphasis and vivacity to the written content.

Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body's physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.

This book offers a comprehensive analysis of philosophical, social, ethical, and legal challenges arising as a consequences of current advances in neurosciences and neurotechnology. It starts by offering an overview of fundamental concepts such as mental privacy, personal autonomy, mental integrity, and responsibility, among others. In turn, it discusses the influence of possible misuses or uncontrolled uses of neurotechnology on those concepts, and, more in general, on human rights and equality. Then, it makes some original proposals to deal with the main ethical, legal, and social problems associated to the use of neurotechnology, both in medicine and in everyday life, suggesting possible policies to protect privacy, neural data, and intimacy. Crossing the borders between humanities, natural sciences, bio-medicine, and engineering, and taking into account geographical and cultural differences, this book offers a conceptual debate around policy and decision making concerning some of the key neuroethical challenges of our times. It offers a comprehensive guide to the most important issues of neurojustice and neuroprotection, together with a set of new paradigms to face some of the most urgent neuroethical problems of our times.

Chitosan Based Biomaterials: Fundamentals, Volume 1, provides the latest information on chitosan, a natural polymer derived from the marine material chitin. Chitosan displays unique properties, most notably biocompatibility and biodegradability. It can also be easily tuned to modify its structure or properties, making chitosan an excellent candidate as a biomaterial. Consequently, chitosan is being developed for many biomedical functions, ranging from tissue engineering and implant coatings to drug and gene delivery. This book looks at the fundamentals of chitosan-based biomaterials.

This book is part of a two-part volume book that highlights the latest advances in innovative bioceramics applied in the highly interdisciplinary area referred to as "translational medicine". This volume covers the basic principles and techniques used in the manufacture of bioceramics and biocomposites for various biomedical applications including drug delivery, implantable bionics and the development of the cardiac pacemaker, and bone tissue engineering. Furthermore, self-healing materials have been attracting increasing interest in both engineering and medical applications during the past two decades. Self-healing hydrogels are particularly interesting because of their ability to repair structural damages and recover their original functions, specifically in tissue engineering.

This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.

Medical Biosensors for Point of Care (POC) Applications discusses advances in this important and emerging field which has the potential to transform patient diagnosis and care. Part 1 covers the fundamentals of medical biosensors for point-of-care applications. Chapters in part 2 go on to look at materials and fabrication of medical biosensors while the next part looks at different technologies and operational techniques. The final set of chapters provide an overview of the current applications of this technology. Traditionally medical diagnostics have been dependent on sophisticated technologies which only trained professionals were able to operate. Recent research has focused on creating point-of-care diagnostic tools. These biosensors are miniaturised, portable, and are designed to be used at the point-of-care by untrained individuals, providing real-time and remote health monitoring.

This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Overview of the development of gene therapy Provides the most up to date information on the development of gene therapy, from the technology involved to gene correction and genome editing Presents CRISPR gene therapy recent trends and applications Discusses siRNA, mRNA, and DNA plasmids

Stem cells hold great promise for cell therapy, tissue engineering, regenerative medicine and pharmaceutical and biotechnological applications. This book highlights the potency of stem cells, their property of self-renewal and their ability to differentiate into different cell lineages. It further describes the different markers to identify stem cells, sources, methods of isolation, culture including 2D, 3D and beyond and their cryopreservation. This is among the first books to discuss glycosylation and sialylation in stem cells. Chapters describe application of stem cells in regenerative medicine and therapy, and highlight their application in cancer therapy and spinal cord injury. The book talks about the important patents on stem cells. The book also highlights the plant stem cells, discussing their pluoripotent nature, role in organ regeneration after injury, specific stem cell niches, that signals to block differentiation studied in plants shoot, root, and vascular meristems, differentiation of plant stem cell, transcriptional regulation and epigenetic modification of plant stem cells. This book is exciting and cutting edge. It will be of great interest to doctors, students and researchers in the field of regenerative medicine, cancer , biotechnology and plant sciences.

This book presents fundamental requirements, electrical specification, and parameter tradeoffs of wearable EEG acquisition circuits, especially those compatible with dry electrodes for user-friendly recordings.  The authors introduce active electrode, the most promising solution for dry electrodes-based EEG measurement. This architectural concept has been combined with various, innovative circuit design techniques to illustrate structured IC design methodologies for high performance EEG recording. This book also gives examples on the design, implementation and evaluation of three generations of active electrode ICs.

Explores text mining and IoT applications for monitoring and controlling smart industrial systems Describes the key principles and techniques for Big-data analytics, security, and optimization for industrial applications. Provides context-aware insights, human-centric industry, smart computing for next-generation industry

This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes

This book compiles the latest applications of the cutting-edge gene editing tool CRISPR/Cas in the area of crop improvement. It begins with an introduction to the technique and its application in crop plants. Next, it gives an updated overview of available delivery methods, design tools and resources in CRISPR/Cas. The book subsequently reviews the applications of CRISPR/Cas in connection with e.g. insect stress, disease stress, abiotic stress, nutritional and yield improvement in crop plants, etc. It also discusses the various regulatory, ethical and social aspects of the technique that must be kept in mind when designing experiments. In closing, the book summarizes the status quo and outlines future prospects for the tool in crop improvement and food security. Given its scope, the book will especially benefit students and researchers in food science, biotechnology, agriculture and the plant sciences.

This book presents a mechanistic approach-mathematical modeling-for carrying out dental materials research. This approach allows researchers to go beyond the null hypothesis and obtain a solution that is more general and therefore predictive for conditions other than those considered in a study. Hence it can be used either on its own or to complement the commonly used statistical approach. Through a series of practical problems with wide-ranging application, the reader will be guided on: How to construct a mathematical model for the behavior of dental materials by making informed assumptions of the physical, chemical, or mechanical situation How to simplify the model by making suitable simplifications How to calibrate the model by calculating the values of key parameters using experimental results How to refine the model when there are discrepancies between predictions and experiments Only elementary calculus is required to follow the examples and all the problems can be solved by using MS Excel (c) spreadsheets. This is an ideal book for dental materials researchers without a strong mathematical background who are interested in applying a more mechanistic approach to their research to give deeper insight into the problem at hand. Advance praise for Mathematical Models for Dental Materials Research: "This is a nice addition for research students on how to conduct their work and how to manage data analysis. It brings together a number of important aspects of dental materials investigations which has been missing in the literature. The practical examples make it much easier to understand." - Michael F. Burrow, Clinical Professor in Prosthodontics, The University of Hong Kong "The great strengths of this volume are the real world examples of dental materials research in the successive chapters. In turn, this is an outcome of the outstanding expertise of both authors. I warmly recommend this book to the dental biomaterials community worldwide." - David C. Watts, Professor of Biomaterials Science, University of Manchester, UK

Covers all aspects of gold nanorods along with selected protocols Focuses on synthetic chemistry, optical property, and fictionalization approach of colloidal gold nanorods Describes standard synthetic methods and advantage of gold nanorods in biomedical applications Includes authentic and reproducible experimental procedures Discusses applications like redox catalyst, catalyst promoter, delivery carrier, solar cell material, and so forth

This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.

This book discusses the emergence of diverse functional organizations in the visual pathway which could be spontaneously and solely initiated by the random feedforward wiring of neural circuits. It demonstrates that the structure of ON and OFF retinal ganglion cell (RGC) mosaics is projected onto V1 by retino-cortical feedforward mapping to induce higher cognitive functions. This book will be beneficial for both theoretical and experimental neuroscientists, as well as for researchers using brain-inspired neural network models.

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human-machine interaction, among others.

With rise of smart medical sensors, cloud computing and the health care technologies, "connected health" is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

The most up to date book on the topic Suitable for use as a textbook Contains a systematic description of each technique it describes Covers a broad readership, including nanotechnology, biotechnology, biophysics, analytical chemistry, and chemical biology Provides a highly simplified tutorial protocol at the end of each chapter to help readers obtain hands-on experience

Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks.

Hydrogels are a particular class of compounds of which the major constituent is wa- ter. In fact, water is present in the hydrogel up to 90% and is contained in a scaffold which is generally polymeric and obviously hydrophilic. As a result, hydrogels re- semble each other even though obtained from different polymers. Nevertheless, the polymeric matrix gives particular characteristics to the hydrogel leading to applica- tions in different fields. Water is the main element of the human body, thus hydrogels are excellent struc- tures to favourably shelter proteins, cells etc. , without altering their characteristics and properties. This is why hydrogels are mainly designed and synthesized for their usein thebiologicalfield;hence the name biohydrogels. Their propertiespoint totheir use as scaffolds for stem cells which has turned out to be a very promising technique for tissue and organ regeneration. For this reason their investigation falls within the Biomaterials Science. Paradoxically, the conceptual simplicity of hydrogelsupto nowhas led to a super- ficialstudy of their chemistry, chemical physics and mechanics preventing their wider application in the human body due to a lack of knowledge of biological component interactions. For example, it is not clear, yet, how to store hydrogels without alter- ing their characteristics. In fact, hydrogels re-hydrated after lyophylization or oven drying, generally show corrupted properties once swollen in water, in comparison with their native counterparts.