This book provides a well-focused and comprehensive overview of the history and background of nanocarbon based materials like carbon nanotubes, graphene, and fullerenes. It discusses their structure, synthesis, properties and modifications for making various advanced materials. The authors focus on their use in the health care sector as therapeutic agents in pharmacy and medicine, in diagnosis and analysis in pharmacy and medicine, as biosensors, gene and drug delivery, cancer therapy, biosensing and bioimaging, go-based antibacterial materials, and as a promising antioxidant and GO-based scaffold for cell culture. The authors also showcase the application potential of advanced nanocarbon based materials by examining the biomedical applications developed via novel advanced designing, in which the technologies will be adopted and the end users can be benefited. Finally the authors discuss the increasing research on carbon based materials, along with the challenges they are currently facing along with possible solutions that may result in the availability of the accessible, reliable and cost-efficient technology. The potential user for this book may be medical practitioners, biologists, pharmacists, and chemists.This book covers in-depth knowledge of processing parameters for making nanocarbon based material for high end applications in the biomedical and pharmaceutical fields.

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

Nanotechnology is believed to be the next great revolution in biology, medicine, and agriculture. This new volume, Biogenic Nanomaterials: Structural Properties and Functional Applications, explores that trend by providing in a global way updated information on the use and applications of nanobiotechnology, starting from a careful characterization and introduction to the various uses of nanoparticles and nanomaterials, their nanomechanical properties in bacteria, and biomedical applications. The book goes on to present nanobiotechnology applications in targeted therapy for multiple pathologies, such as cancer, obstructive pulmonary diseases, chronic infectious diseases, as well as its impact on the modulation of the intestinal microbiota. A special emphasis is also given to the potential of nanobiotechnology in terms of promoting sustainability, such as the ability to improve plant systems in terms of tissue culture, its added value in the transfer of macromolecules to plants, and also in triggering the sustainable exploitation of agriculture, forestry, and food residues, ultimately promoting green nanotechnology. This book offers a unique perspective and overview of the influences of nanobiotechnology researchers and scientists. It delivers an important resource for existing applications and imminent developments of nanobiotechnology.

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.

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.

This book presents the design, development and field trials of radio frequency based wireless monitoring system for sleep apnoea patients. It contains 4 major areas including general background of wireless monitoring technology and MIMO in wireless body area network (WBAN), microwave hardware designs, virtual MIMO in WBAN and hardware system level implementation and field trials. At components level, this book presents the design theory, process and examples of bandpass filters, lowpass filters, low profile patch antennas, power amplifiers and oscillators which are the key elements in transducer designs in the body area network and cooperative communication wireless sensor network system. At system level, this book features the hardware integration, field trial and network coding techniques. This book also gives a presentation of virtual MIMO applications, e.g. MIMO implementation using FPGA, correlation coefficient measurement. The book will create impact in the fields of wireless monitoring technology in biomedical engineering, which have been growing exponentially.

Covers computational Intelligence techniques like fuzzy sets, artificial neural networks, deep neural networks, and genetic algorithm for Healthcare systems Provides easy understanding concepts like signal and image filtering techniques Includes discussion over filtering and classification problems Details studies with medical signal (ECG, EEG, EMG) and image (X-rays, FMRI, CT) datasets Describes evolution parameters such as signal-to-noise ratio, mean square error, accuracy, precision, and recall

This new volume provides an abundance of information on new biomedical applications being used today. The book covers a wide range of concepts and technologies, discussing such modern technological methods as the Internet of Things, e-pills, biomedical sensors, support vector machines, wireless devices, image and signal processing in e-health, and machine learning. It also includes a discussion on software implementation for the devices used in biomedical applications. The different types of antennas, including antennas using RF energy harvesting for biomedical applications, are covered as well.

This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The algorithms are developed with the aim of maximizing computational accuracy and efficiency, while faithfully reconstructing both the inhibitory and excitatory functional links. The book reports on statistical methods to compute the most significant functional connectivity graph, and shows how to use graph theory to extract the topological features of the computed network. A particular feature is that the methods used and extended at the purpose of this work are reported in a fairly completed, yet concise manner, together with the necessary mathematical fundamentals and explanations to understand their application. Furthermore, all these methods have been embedded in the user-friendly open source software named SpiCoDyn, which is also introduced here. All in all, this book provides researchers and graduate students in bioengineering, neurophysiology and computer science, with a set of simplified and reduced models for studying functional connectivity in in silico biological neuronal networks, thus overcoming the complexity of brain circuits.

Truly international, this extensive text combines the efforts of eight laboratories from seven countries in investigating the study of problems of manipulation, orienting, and navigating in humans and animals. The novel, multidisciplinary approach places the study of multisensory control of movement in a three-dimensional frame, with reference to computer models and neuronal mechanisms. Of interest to researchers, clinicians, and advanced students in neuroscience, psychology, and neurology, the text also has important implications for researchers in biomedical engineering and robotics.

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.

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.

This work was compiled to serve as a convenient source that covers a number of techniques (and details of their use) in the rather large field of nanomedicine, with special attention paid to gene delivery. As principal investigators working in the field of nanomedicine, we sought to put together the most current and relevant topics in gene delivery, imaging and evaluation systems. We expect the work to serve very well for scientists and graduate students in the nanomedicine field.

This contributed volume is the first of a series that introduces safe, feasible, and practical decellularization and recellularization techniques for tissue and organ reconstruction. We have put special emphasis on the research areas most likely to develop well-engineered scaffolds for tissue and organ engineering, while presenting easily applicable bench-to-bedside approaches highlighting the latest technical innovations in the field. This book includes both a fundamental discussion for a broad understanding of the basis of tissue repair and substitution, as well as chapters written by world renowned specialists from 20 countries providing deeper discussions and analysis of related sub disciplines. Within these pages, the reader will find state-of-the-art protocols and current clinical challenges in cell and tissue biology, including accurate and comprehensive information on extracellular matrices, natural biomaterials, tissue dynamics, morphogenesis, stem cells, cellular fate progressions, cell and tissue properties for in-vitro and in-vivo applications. This comprehensive and carefully organized treatise provides a clear framework for graduate students and postdoctoral researchers new to the field, but also for researchers and practitioners looking to expand their knowledge on tissue and organ reconstruction.

Materials Development and Processing for Biomedical Applications focuses on various methods of manufacturing, surface modifications, and advancements in biomedical applications. This book examines in detail about five different aspects including, materials properties, development, processing, surface coatings, future perspectives and fabrication of advanced biomedical devices. Fundamental aspects are discussed to better understand the processing of various biomedical materials such as metals, ceramics, polymers, composites, etc. A wide range of surface treatments are covered in this book that will be helpful for the readers to understand the importance of surface treatments and their future perspectives. Additional Features Include: Examines various properties of biomedical materials at the beginning in several chapters which will enrich the fundamental knowledge of the readers. Discusses advancements in various fields of biomedical applications. Provides a glimpse of characterization techniques for the evaluation of material properties. Addresses biocompatibility, biocorrosion, and tribocorrosion. This book explores new and novel strategies for the development of materials and their biomedical applications. It will serve as a comprehensive resource for both students and scientists working in materials and biomedical sciences.

This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer's disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.

Bridging the disciplines of engineering and medicine, ""Biomedical Engineering and Information Systems: Technologies, Tools and Applications"", informs researchers, clinicians, and practitioners of the latest developments in diagnostic tools, decision support systems, and intelligent devices that impact and redefine research in and delivery of medical services.

This edited volume provides an overview the state-of-the-art in the field of cognitive neuroscience of memory consolidation. In a number of sections, the editors collect contributions of leading researchers . The topical focus lies on current issues of interest such as memory consolidation including working and long-term memory. In particular, the role of sleep in relation to memory consolidation will be addressed. The target audience primarily comprises research experts in the field of cognitive neuroscience but the book may also be beneficial for graduate students.

The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' life, Smart Towns to recover the livability and traditions, Smart Earth to protect our world, and Industrial Internet of Things to create safer and easier jobs. This book considers very important research areas in Energy, Industry, and Healthcare domain with IoT and image processing applications.The aim of the book to highlights future directions of optimization methods in various engineering and science applications in various IoT and image processing applications. Emphasis is given to deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. The role of AI in mechatronics is also highlighted using suitable optimization methods. This book considers very important research areas in Energy, Industry, and Healthcare. It addresses major issues and challenges in Energy, Industry, and Healthcare and solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations. Key sailing Features: The impact of the proposed book is to provide a major area of concern to develop a foundation for the implementation process of new image processing and IoT devices based on Energy, Industry, and Healthcare related technology. The researchers working on image processing and IoT devices can correlate their work with other requirements of advanced technology in Energy, Industry, and Healthcare domain. To make aware of the latest technology like AI and Machine learning in Energy, Industry, and Healthcare related technology. Useful for the researcher to explore new things like Security, cryptography, and privacy in Energy, Industry, and Healthcare related technology. People who want to start in Energy, Industry, and Healthcare related technology with image processing and IoT world.

Presents cutting-edge research in biomedical engineering from materials, devices, imaging, and information perspectives All chapters are results of collaborative research in engineering and life sciences Useful resource for researchers, students, and general readers in biomedical engineering

Nanotechnology has the potential to change every part of our lives. Today, nanotechnology-based products are used in many areas, and one of the most important areas is drug delivery. Nanoparticulate drug delivery systems not only provide controlled delivery of drugs and improved drug solubility but also improve drug efficiency and reduce side effects via targeting mechanisms. However, compared with conventional drug delivery systems, few nanoparticle-based products are on the market and almost all are nontargeted or only passively targeted systems. In addition, obtaining targeted nanoparticle systems is quite complex and requires several evaluation mechanisms. This book discusses the production, characterization, regulation, and currently marketed targeted nanoparticle systems in a broad framework. It provides an overview of targeted nanoparticles' (i) in vitro characterization, such as particle size, stability, ligand density, and type; (ii) in vivo behavior for different targeting areas, such as tumor, brain, and vagina; and (iii) current advances in this field, including clinical trials and regulation processes.

The main goal of the present book is to deal with the role of nanobiotechnology in skin, soft tissue and bone infections since it is difficult to treat the infections due to the development of resistance in them against existing antibiotics. The present interdisciplinary book is very useful for a diverse group of readers including nanotechnologists, medical microbiologists, dermatologists, osteologists, biotechnologists, bioengineers. Nanotechnology in Skin, Soft-Tissue, and Bone Infections is divided into four sections: Section I- includes role of nanotechnology in skin infections such as atopic dermatitis, and nanomaterials for combating infections caused by bacteria and fungi. Section II- incorporates how nanotechnology can be used for soft-tissue infections such as diabetic foot ulcer and other wound infections; Section III- discusses about the nanomaterials in artificial scaffolds bone engineering and bone infections caused by bacteria and fungi; and also about the toxicity issues generated by the nanomaterials in general and nanoparticles in particular. The readers will be immensely enriched by the knowledge of new and emerging nanobiotechnologies in a variety of platforms.

Provides a comprehensive guide about how to use machine vision for Industry 4.0 applications like analysis of images for automated inspections, object detection, object tracking etc. Includes case studies of Robotics Internet of Things with its current and future applications in Healthcare, Agriculture, Transportation, etc. It highlights the inclusion of impaired people in industry, like intelligent assistant that helps deaf-mute people to transmit instructions and warnings in a manufacturing process. It examines the significant technological advancements in machine vision for industrial Internet of things and explores the commercial benefits using the real world applications from healthcare to transportation. Provides a conceptual framework of Machine vision for the various Industrial applications. Addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and post-graduate students, researchers, and anyone else interested in the trends, development, and opportunities for the Machine Vision for Industry 4.0 applications.