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.

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.

Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. This book reviews the neural theory and translates them into digital models. Applications are given in areas of image recognition, foveation, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated sections presenting several newly developed applications. This edition also introduces a suite of Python scripts that assist readers in replicating results presented in the text and to further develop their own applications.

This book addresses biometrics from a biomedical engineering point of view. Divided into five sections, it discusses topics including the influence of pathologies on various biometric modalities (e.g. face, iris, fingerprint), medical and security biometrics, behavioural biometrics, instrumentation, wearable technologies and imaging. The final chapters also present a number of case studies. The book is suitable for advanced graduate and postgraduate students, engineers and researchers, especially those in signal and image processing, biometrics, and biomedical engineering.

This book provides excellent techniques for detecting and evaluating biofilms: sticky films on materials that are formed by bacterial activity and produce a range of industrial and medical problems such as corrosion, sanitary problems, and infections. Accordingly, it is essential to control biofilms and to establish appropriate countermeasures, from both industrial and medical viewpoints. This book offers valuable, detailed information on these countermeasures. It also discusses the fundamentals of biofilms, relates various substrates to biofilms, and presents a variety of biofilm reactors. However, the most important feature of this book (unlike others on the market) is its clear focus on addressing the practical aspects from an engineering viewpoint. Therefore, it offers an excellent practical guide for engineers and researchers in various fields, and can also be used as a great academic textbook.

Nanomaterial technologies can be used to fabricate high-performance biomaterials with tailored physical, chemical, and biological properties. They are therefore an area of interest for emerging biomedical technologies such as scaffolding, tissue regeneration, and controlled drug delivery. Nanomaterials in tissue engineering explores the fabrication of a variety of nanomaterials and the use of these materials across a range of tissue engineering applications.
Part one focuses on the fabrication of nanomaterials for tissue engineering applications and includes chapters on engineering nanoporous biomaterials, layer-by-layer self-assembly techniques for nanostructured devices, and the synthesis of carbon based nanomaterials. Part two goes on to highlight the application of nanomaterials in soft tissue engineering and includes chapters on cardiac, neural, and cartilage tissue engineering. Finally, the use of nanomaterials in hard tissue engineering applications, including bone, dental and craniofacial tissue engineering is discussed in part three.
Nanomaterials in tissue engineering is a standard reference for researchers and tissue engineers with an interest in nanomaterials, laboratories investigating biomaterials, and academics interested in materials science, chemical engineering, biomedical engineering and biological sciences.
Explores the fabrication of a variety of nanomaterials and their use across a range of tissue engineering applicationsExamines engineering nanoporous biomaterials, layer-by-layer self-assembly techniques for nanostructured devices, and the synthesis of carbon based nanomaterialsHighlights the application of nanomaterials in soft tissue engineering and includes chapters on cardiac, neural, and cartilage tissue engineering

Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.

This book equips readers to understand a complex range of healthcare products that are used to diagnose, monitor, and treat diseases or medical conditions affecting humans. The first part of the book presents medical technologies such as medical information retrieval, tissue engineering techniques, 3D medical imaging, nanotechnology innovations in medicine, medical wireless sensor networks, and knowledge mining techniques in medicine. The second half of the book focuses on healthcare technologies including prediction hospital readmission risk, modeling e-health framework, personal Web in healthcare, security issues for medical records, and personalized services in healthcare. The contributors are leading world researchers who share their innovations, making this handbook the definitive resource on these topics. Handbook of Medical and Healthcare Technologies is intended for a wide audience including academicians, designers, developers, researchers and advanced-level students. It is also valuable for business managers, entrepreneurs, and investors within the medical and healthcare industries.

This book provides a well-focused and comprehensive overview of novel technologies involved in advanced microfluidics based diagnosis via various types of prognostic and diagnostic biomarkers. This authors examine microfluidics based diagnosis in the biomedical field as an upcoming field with extensive applications. It provides a unique approach and comprehensive technology overview for diagnosis management towards early stages of various bioanalytes via cancer diagnostics diabetes, alzheimer disease, toxicity in food products, brain and retinal diseases, cardiovascular diseases, and bacterial infections etc. Thus, this book would encompass a combinatorial approach of medical science, engineering and biomedical technology. The authors provide a well-focused and comprehensive overview of novel technologies involved in advanced microfluidics based diagnosis via various types of prognostic and diagnostic biomarkers. Moreover, this book contains detailed description on the diagnosis of novel techniques. This book would serve as a guide for students, scientists, researchers, and microfluidics based point of care technologies via smart diagnostics and to plan future research in this valuable field.

Understanding the functional roles of DNA modifications relies on the accurate detection, quantification, and mapping of DNA modifications. Methods for deciphering DNA modifications have substantially improved over the last several years, which greatly revolutionize the field of DNA modifications. In addition to DNA cytosine methylation (5-methylcytosine, 5mC), the best-characterized epigenetic modification, many new modifications have been discovered to present in DNA in recent years. This book provides a comprehensive overview of available techniques and methods together with detailed step-by-step protocols for experimental procedures required to successfully perform analysis on various types of DNA modifications, including 5mC, 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), 5-carboxycytosine (5caC), 5-hydroxymethyluracil (5hmU), 5-formyluracil (5fU), N6-methyladenine (6mA), -D-glucosyl-5-hydroxymethyluracil (base J) and 8-oxo-7,8-dihydroguanine (OG). This laboratory manual is a valuable source for biochemists and molecular biologists from different fields who wish to investigate DNA modifications.

This book involves the topics on the frontier of the tissue engineering and regenerative medicine. It transits new ideas, new scientific results, and discusses on the design of the self-organized tissues. This book will have a broader readership, because it provides scientific information for diverse disciplinary fields (biology, material science, engineering, medicine, and life science). More scientists, professors, graduates, undergraduates and researchers would be inspired.This book will provide some 3D structure images that would impress the readers with intuitional and abundant information which includes experimental and simulative results.

This book gathers full papers presented at the VipIMAGE 2019-VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing-held on October 16-18, 2019, in Porto, Portugal. It discusses cutting-edge methods, findings, and applications related to 3D vision, bio- and medical imaging, computer-aided diagnosis, image enhancement, image processing and analysis, virtual reality, and also describes in detail advanced image analysis techniques, such as image segmentation and feature selection, as well as statistical and geometrical modeling. The book provides both researchers and professionals with extensive and timely insights into advanced imaging techniques for various application purposes.

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

This new volume on applications and advances in tissue engineering presents significant, state-of-the-art developments in this exciting area of research. It highlights some of the most important applied research on the applications of tissue engineering along with its different components, specifically different types of biomaterials. It looks at the various issues involved in tissue engineering, including smart polymeric biomaterials, gene therapy, tissue engineering in reconstruction and regeneration of visceral organs, skin tissue engineering, bone and muscle regeneration, and applications in tropical medicines. Covering a wide range of issues in tissue engineering, the volume Provides an overview of the efficacy of the different biomaterials employed in tissue engineering (such as skin regeneration, nerve regeneration, artificial blood vessels, bone regeneration). Looks at smart polymeric biomaterials in tissue engineering Discusses the hybrid approach of tissue engineering in conjunction with gene therapy Explores using tissue engineering in the management of tropical diseases Considers various skin tissue engineering applications, including wound healing methods, skin substitutes and other materials Reports on the use of various biomaterials in bone and muscle regeneration Describes the use of tissue engineering in reconstruction and regeneration of visceral organs Covers polysaccharides and proteins-based hydrogels for tissue engineering applications Providing an abundance of advanced research and information, Tissue Engineering: Applications and Advancements will be a valuable resource for medical researchers, pharmaceutical manufacturers, healthcare personnel, and academicians.

This book covers a wide range of topics relating to carbon nanomaterials, from synthesis and functionalization to applications in advanced biomedical devices and systems. As they possess unique and attractive chemical, physical, optical, and even magnetic properties for various applications, considerable effort has been made to employ carbon nanomaterials (e.g., fullerenes, carbon nanotubes, graphene, nanodiamond) as new materials for the development of novel biomedical tools, such as diagnostic sensors, imaging agents, and drug/gene delivery systems for both diagnostics and clinical treatment. Tremendous progress has been made and the scattered literature continues to grow rapidly. With chapters by world-renowned experts providing an overview of the state of the science as well as an understanding of the challenges that lie ahead, Carbon Nanomaterials for Biomedical Applications is essential reading not only for experienced scientists and engineers in biomedical and nanomaterials areas, but also for graduate students and advanced undergraduates in materials science and engineering, chemistry, and biology.

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

The book presents an innovative technology based on injection of a very weak current to trace the quantity of a drug carried immediately after the administration. The book makes the reader familiar with the technology, from the conception through the design of the instrument, up to the preliminary clinical applications. In the first chapter, the method of transdermal drug delivery and the use of impedance spectroscopy in the dermatological field are presented. The second chapter describes a screening measurement campaign aimed at proving the feasibility of the assessment method and identifying the bandwidth of interest. The prototyping, validation and characterization of an instrument to measure the amount of drug delivered (DUSM: Drug Under Skin Meter) are presented in chapter three. In the fourth chapter three experimental campaigns, based on the electrical analysis of the biological tissue behavior due to the drug delivery, are reported: (i) laboratory emulation on eggplants, (ii) ex-vivo tests on pig ears, and finally (iii) in-vivo tests on human volunteers. In the fifth chapter a behavioral model, based on Finite Elements and Partial Differential Equation, of an impedance-based measurement system for assessing the drug released under the skin, during transdermal delivering, is proposed. The last chapter is dedicated to present a campaign in order to prove the suitability for insulin therapy applications. This book is intended for biomedical engineers, biomedical engineering students, operators working in the field of biomedical instrumentation, biotechnologists, and technicians of transdermal vehiculation.

This book describes the state of the art on computational modeling and fabrication in Tissue Engineering. It is inspired by the ECCOMAS thematic conference, the European Committee on Computational Methods in Applied Sciences, on Tissue Engineering, held in Lisbon, Portugal, June 2-4, 2011. Tissue Engineering is a multidisciplinary field involving scientists from different fields. The development of mathematical methods is quite relevant to understand cell biology and human tissues as well to model, design and fabricate optimized and smart scaffolds. Emphasis is put on mathematical and computational modeling for scaffold design and fabrication. This particular area of tissue engineering, whose goal is to obtain substitutes for hard tissues such as bone and cartilage, is growing in importance.

Explores how antiviral nanomaterials can be used in developing targeted drug delivery practices and enable pharmaceutical industries to reformulate available drugs on market Covers immunization, imaging, and drug delivery and features various case studies on managing viral diseases Addresses synthesis protocols and recent developments by performing physicochemistry on virion substrate, hybrid viral networks, and multilayered arrays thus enabling R&D experts to study and successfully instigate cutting-edge technologies unique to viruses Discusses current and near future applications of antiviral nanomaterials and their activity in drug delivery systems Describes the role of nanotechnology in prevention, detection, and treatment of COVID-19 Investigates the role of antiviral nanodrugs play in human and animal body systems and in major viral disease types.

After the drug discovery and development process, designing suitable formulations to safely deliver the optimum dose, while avoiding side effects, has been a constant challenge, especially when drugs are very toxic and have poor solubility and undesirable clearance profiles. With recent advances in synthetic technologies, nanoparticles can be custom-made from a variety of advanced materials to mimic the bioenvironment and can be equipped with various targeting and imaging moieties for site-specific delivery and real-time imaging. Drug Delivery Using Nanomaterials covers advancements in the field of nanoparticle-based drug-delivery systems, along with all the aspects needed for a successful and marketable nanoformulation. FEATURES Offers a general overview of the entire process involved in the synthesis and characterization of pharmaceutical nanoparticles Covers a broad range of synthetic materials for developing nanoformulations customized for specific disease states, target organs, and drugs Every chapter sequentially builds, providing a progressive pathway from classical nanoparticles to the more advanced to be used as a full drug product by consumers Provides information in a bottom-up manner in that definitions and explanations of relevant background information serve as a framework for understanding advanced concepts This user-friendly reference is aimed at materials engineers, chemical engineers, biomedical engineers, pharmaceutical scientists, chemists, and others working on advanced drug delivery, from academia as well as industry.

- Presents a practical and accessible journey from application requirements to technical solutions - Provides a pedagogic treatment of the underlying technology - Describes how safety is to be considered in the application of this technology and how safety and quality can be factored into the overall system.

This book introduces human factors engineering (HFE) principles, guidelines, and design methods for medical device design. It starts with an overview of physical, perceptual, and cognitive abilities and limitations, and their implications for design. This analysis produces a set of human factors principles that can be applied across many design challenges, which are then applied to guidelines for designing input controls, visual displays, auditory displays (alerts, alarms, warnings), and human-computer interaction. Specific challenges and solutions for various medical device domains, such as robotic surgery, laparoscopic surgery, artificial organs, wearables, continuous glucose monitors and insulin pumps, and reprocessing, are discussed. Human factors research and design methods are provided and integrated into a human factors design lifecycle, and a discussion of regulatory requirements and procedures is provided, including guidance on what human factors activities should be conducted when and how they should be documented.This hands-on professional reference is an essential introduction and resource for students and practitioners in HFE, biomedical engineering, industrial design, graphic design, user-experience design, quality engineering, product management, and regulatory affairs. Teaches readers to design medical devices that are safer, more effective, and less error prone; Explains the role and responsibilities of regulatory agencies in medical device design; Introduces analysis and research methods such as UFMEA, task analysis, heuristic evaluation, and usability testing.

This third edition of the International Classification of Primary Care (ICPC-3) is indispensible for anyone wishing to use the international classification system for classification of morbidity data in a primary care setting. Distilling the many standards that are applied internationally in primary & community care and public health to offer a telescopic view, the classification has been completely rewritten to reflect the continued shift in the health paradigm of primary care and public health towards the person rather than the disease or provider. The content of ICPC-3 remains closely 'linked' to relevant related international classifications. The ICPC-3 also contributes to the United Nations' Sustainable Development Goals, specifically to Goal 3 and its target of ensuring healthy lives and promoting well-being for all at all ages.

In this book, we approach neurophysiology at the interface of neurology and clinical neurophysiology. The medical disciplines of the nervous system, n- rology and clinical neurophysiology, rest heavily on other sciences, notably cellular biology, neuro-anatomy, neuro-physiology, applied physics and ma- ematical biology. Existing medical textbooks on neurophysiology, neurology and clinical neurophysiology are an excellent source of the phenomenology of various principles and diseases. Here, we choose to elucidate some of the under- ing physiological, physical processes and experimental methods, intended for a broad audience - medical residents and students, as well as students in the emerging area of medical technical sciences. We feel that a good understanding of fundamentals may signi?cantly - hance insight into various aspects of clinical neurology and clinical neu- physiology. This book, therefore, is focused on a selection of clinical signs and symptoms to highlight basic principles of neurology, (neuro-)physiology and neuroanatomy. While we believe this text to be of interest to medical students or residents in neurology or clinical neurophysiology, we speci?cally aim at students - terested in contributing to new developments and innovations in neurology and clinical neurophysiology. These students are involved with patients, even though they are not trained for routine patient care.

Covid-19 is primarily a respiratory disease which results in impaired oxygenation of blood. The O2-deficient blood then moves through the body, and for the study in this book, the focus is on the blood flowing to the brain. The dynamics of blood flow along the brain capillaries and tissue is modeled as systems of ordinary and partial differential equations (ODE/PDEs). The ODE/PDE methodology is presented through a series of examples, 1. A basic one PDE model for O2 concentration in the brain capillary blood. 2. A two PDE model for O2 concentration in the brain capillary blood and in the brain tissue, with O2 transport across the blood brain barrier (BBB). 3. The two model extended to three PDEs to include the brain functional neuron cell density. Cognitive impairment could result from reduced neuron cell density in time and space (in the brain) that follows from lowered O2 concentration (hypoxia). The computer-based implementation of the example models is presented through routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Rather, the presentation is through detailed examples that the reader/researcher/analyst can execute on modest computers. The PDE analysis is based on the method of lines (MOL), an established general algorithm for PDEs, implemented with finite differences. The routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the blood/brain hypoxia models, such as changes in the ODE/PDE parameters (constants) and form of the model equations.