This book focuses on interdisciplinary research in the field of biomedical engineering and neuroscience. Biomedical engineering is a vast field, ranging from bioengineering to brain-computer interfaces. The book explores the system-level function and dysfunction of the nervous system from scientific and engineering perspectives. The initial sections introduce readers to the physiology of the brain, and to the biomedical tools needed for diagnostics and effective therapies for various neurodegenerative and regenerative disorders. In turn, the book summarizes the biomedical interventions that are used to understand the neural mechanisms underlying empathy disorders, and reviews recent advances in biomedical engineering for rehabilitation in connection with neurodevelopmental disorders and brain injuries. Lastly, the book discusses innovations in machine learning and artificial intelligence for computer-aided disease diagnosis and treatment, as well as applications of nanotechnology in therapeutic neurology.

This book presents a variety of perspectives on vision-based applications. These contributions are focused on optoelectronic sensors, 3D & 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors focus on applications of unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications and structural health monitoring. Recent advanced research in measurement and others areas where 3D & 2D machine vision and machine control play an important role, as well as surveys and reviews about vision-based applications. These topics are of interest to readers from diverse areas, including electrical, electronics and computer engineering, technologists, students and non-specialist readers. * Presents current research in image and signal sensors, methods, and 3D & 2D technologies in vision-based theories and applications; * Discusses applications such as daily use devices including robotics, detection, tracking and stereoscopic vision systems, pose estimation, avoidance of objects, control and data exchange for navigation, and aerial imagery processing; * Includes research contributions in scientific, industrial, and civil applications.

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure - and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources - including news media, social media, Google Trends, and Google Street View - can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for a fast and reliable technology capable of processing data and delivering results in a user-friendly manner, whenever and wherever the information is needed. Multimodal acquisition systems, AI-powered applications, and biocybernetic support for medical procedures, physiotherapy and prevention have opened up exciting new avenues in terms of optimizing the healthcare system for the benefit of patients. This book presents a comprehensive study on the latest advances in medical data science and gathers carefully selected articles written by respected experts on information technology. Pursuing an interdisciplinary approach and addressing both theoretical and applied aspects, it chiefly focuses on: Artificial Intelligence Image Analysis Sound and Motion in Physiotherapy and Physioprevention Modeling and Simulation Medical Data Analysis Given its scope, the book offers a valuable reference tool for all scientists who deal with problems of designing and implementing information processing tools employed in systems that assist in patient diagnosis and treatment, as well as students who want to learn more about the latest innovations in quantitative medical data analysis, data mining, and artificial intelligence.

"Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE FOR BIOMEDICAL ENGINEERING offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: * Types of neural networks and neural network algorithms* Knowledge representation, knowledge acquisition, and reasoning methodologies* Chaotic analysis of biomedical time series * Genetic algorithms * Probability-based systems and fuzzy systems* Evaluation and validation of decision support aids. For more information on the IEEE Press Series in Biomedical Engineering edited by Metin Akay, go to http://www caip.rutgers.edu/ per cent7Eakay/book/>" Sponsored by: IEEE Engineering in Medicine and Biology Society.

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM's development in its proper historical context-essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM's ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.

This book presents state-of-the-art research methods, results, and applications in social media and health research. It aims to help readers better understand the different aspects of using social web platforms in health research. Throughout the chapters, the benefits, limitations, and best practices of using a variety of social web platforms in health research are discussed with concrete use cases. This is an ideal book for biomedical researchers, clinicians, and health consumers (including patients) who are interested in learning how social web platforms impact health and healthcare research.

This book explores categories of applications and driving factors surrounding the Smart City phenomenon. The contributing authors provide perspective on the Smart Cities, covering numerous applications and classes of applications. The book uses a top-down exploration of the driving factors in Smart Cities, by including focal areas including "Smart Healthcare," "Public Safety & Policy Issues," and "Science, Technology, & Innovation." Contributors have direct and substantive experience with important aspects of Smart Cities and discuss issues with technologies & standards, roadblocks to implementation, innovations that create new opportunities, and other factors relevant to emerging Smart City infrastructures. Features an exploration of Smart City issues and solutions from a variety of stakeholders in the evolving field Presents conversational, nuanced, and forward thinking perspectives on Smart Cities, their implications, limitations, obstacles, and opportunities Includes contributions from industry insiders who have direct, relevant experience with their respective subjects as well as positioning and corporate stature

Tissue engineering research continues to captivate the interest of researchers and the general public alike. Popular media outlets like The New York Times, Time, and Wired continue to engage a wide audience and foster excitement for the field as regenerative medicine inches toward becoming a clinical reality. Putting the numerous advances in the field into a broad context, Tissue Engineering: Principles and Practices explores current thoughts on the development of engineered tissues. With contributions from experts and pioneers, this book begins with coverage of the fundamentals, details the supporting technology, and then elucidates their applications in tissue engineering. It explores strategic directions, nanobiomaterials, biomimetics, gene therapy, cell engineering, and more. The chapters then explore the applications of these technologies in areas such as bone engineering, cartilage tissue, dental tissue, vascular engineering, and neural engineering. A comprehensive overview of major research topics in tissue engineering, the book: Examines the properties of stem cells, primary cells, growth factors, and extracellular matrix as well as their impact on the development of tissue-engineered devices Focuses upon those strategies typically incorporated into tissue-engineered devices or utilized in their development, including scaffolds, nanocomposites, bioreactors, drug delivery systems, and gene therapy techniques Presents synthetic tissues and organs that are currently under development for regenerative medicine applications The contributing authors are a diverse group with backgrounds in academia, clinical medicine, and industry. Furthermore, this book includes contributions from Europe, Asia, and North America, helping to broaden the views on the development and application of tissue-engineered devices. The book provides a useful reference for courses devoted to tissue engineering fundamentals and those laboratories developing tissue-engineered devices for regenerative medicine therapy.

A practical road map to the key families of biomaterials and their potential applications in clinical therapeutics, Introduction to Biomaterials, Second Edition follows the entire path of development from theory to lab to practical application. It highlights new biocompatibility issues, metrics, and statistics as well as new legislation for intellectual property. Divided into four sections (Biology, Biomechanics, Biomaterials Interactions; Biomaterials Testing, Statistics, Regulatory Considerations, Intellectual Property; Biomaterials Compositions; and Biomaterials Applications), this dramatically revised edition includes both new and revised chapters on cells, tissues, and signaling molecules in wound healing cascades, as well as two revised chapters on standardized materials testing with in vitro and in vivo paradigms consistent with regulatory guidelines. Emphasizing biocompatibility at the biomaterial-host interface, it investigates cell-cell interactions, cell-signaling and the inflammatory and complement cascades, specific interactions of protein-adsorbed materials, and other inherent biological constraints including solid-liquid interfaces, diffusion, and protein types. Unique in its inclusion of the practicalities of biomaterials as an industry, the book also covers the basic principles of statistics, new U.S. FDA information on the biomaterials-biology issues relevant to patent applications, and considerations of intellectual property and patent disclosure. With nine completely new chapters and 24 chapters extensively updated and revised with new accomplishments and contemporary data, this comprehensive introduction discusses 13 important classes of biomaterials, their fundamental and applied research, practical applications, performance properties, synthesis and testing, potential future applications, and commonly matched clinical applications. The authors include extensive references, to create a comprehensive, yet manageable didactic work that is an invaluable desk references and instructional text for undergraduates and working professionals alike.

This book constitutes selected papers from the 16th European, Mediterranean, and Middle Eastern Conference, EMCIS 2019, held in Dubai, UAE, in October 2019. EMCIS is dedicated to the definition and establishment of Information Systems as a discipline of high impact for the methodical community and IS professionals, focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline.The 48 full papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: Big Data and Analytics; Blockchain Technology and Applications; Cloud Computing; Digital Services and Social Media; e-Government; Enterprise Information Systems; Health-Care Information Systems; Information Systems Security and Information Privacy Protection; Innovative Research Projects; IT Governance; and Management and Organizational Issues in Information Systems.

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

Adding to a growing body of knowledge about how the social-ecological dynamics of the Anthropocene affect human health, this collection presents strategies that both address core challenges, including climate change, stagnating economic growth, and rising socio-political instability, and offers novel frameworks for living well on a finite planet. Rather than directing readers to more sustainable ways to structure health systems, Health in the Anthropocene navigates the transition toward social-ecological systems that can support long-term human and environmental health, which requires broad shifts in thought and action, not only in formal health-related fields, but in our economic models, agriculture and food systems, ontologies, and ethics. Arguing that population health will largely be decided at the intersection of experimental social innovations and appropriate technologies, this volume calls readers to turn their attention toward social movements, practices, and ways of living that build resilience for an era of systemic change. Drawing on diverse disciplines and methodologies from fields including anthropology, ecological economics, sociology, and public health, Health in the Anthropocene maps out alternative pathways that have the potential to sustain human wellbeing and ecological integrity over the long term.

In April of 1991, 425 partICIpants from 18 countries met in Hamamatsu in Japan for the 6th International Symposium on Computing in Anesthesia and Intensive Care (lSCAIC). The meeting was one of the most spectacular academic and fruitful in the history of ISCAIC. We had four days of fascinating presentations and discussions covering many areas of technology in Anesthesia and intensive care. New technologies were presented and old technology reexamined. The measures of success of the meeting were the excellent research material in oral and poster presentations, and state of the art reviews of the latest issues by distinguished worldwide key speakers. It must be sure that the meeting was most effective to promote and disseminate up-to-date information in these fields across the participating countries. The aim of this book is to record the exciting achievements of the meeting and extend them further among our colleagues. We hope the readers of this book will share the same excitation as well as the latest information in this speciality. Finally we would like to extend our deepest gratitude to all participants and others for the contribution to the compilation of this book. Kazuyuki Ikeda, M.D.

This volume presents the proceedings of the Brazilian Congress on Biomedical Engineering (CBEB 2018). The conference was organised by the Brazilian Society on Biomedical Engineering (SBEB) and held in Armacao de Buzios, Rio de Janeiro, Brazil from 21-25 October, 2018. Topics of the proceedings include these 11 tracks: * Bioengineering * Biomaterials, Tissue Engineering and Artificial Organs * Biomechanics and Rehabilitation * Biomedical Devices and Instrumentation * Biomedical Robotics, Assistive Technologies and Health Informatics * Clinical Engineering and Health Technology Assessment * Metrology, Standardization, Testing and Quality in Health * Biomedical Signal and Image Processing * Neural Engineering * Special Topics * Systems and Technologies for Therapy and Diagnosis

This volume presents the proceedings of the 7th International Conference on the Development of Biomedical Engineering in Vietnam which was held from June 27-29, 2018 in Ho Chi Minh City. The volume reflects the progress of Biomedical Engineering and discusses problems and solutions. It aims to identify new challenges, and shaping future directions for research in biomedical engineering fields including medical instrumentation, bioinformatics, biomechanics, medical imaging, drug delivery therapy, regenerative medicine and entrepreneurship in medical devices.

This book provides a pioneering approach to modeling the human diabetic patient using a software agent. It is based on two MASc (Master of Applied Science) theses: one looking at the evolution of the patient agent in time, and another looking the interaction of the patient agent with the healthcare system. It shows that the software agent evolves in a manner analogous to the human patient and exhibits typical attributes of the illness such as reacting to food consumption, medications, and activity. This agent model can be used in a number of different ways, including as a prototype for a specific human patient with the purpose of helping to identify when that patient's condition deviates from normal variations. The software agent can also be used to study the interaction between the human patient and the health care system. This book is of interest to anyone involved in the management of diabetic patients or in societal research into the management of diabetes. The diabetic patient agent was developed using the Ackerman model for diabetes, but this model can be easily adapted for any other model subject with the necessary physiological data to support that model.

This book is a comprehensive, interdisciplinary resource for the latest information on implantable medical devices, and is intended for graduate students studying electrical engineering, electronic instrumentation, and biomedical engineering. It is also appropriate for academic researchers, professional engineers, practicing doctors, and paramedical staff. Divided into two sections on Basic Concepts and Principles, and Applications, the first section provides an all-embracing perspective of the electronics background necessary for this work. The second section deals with pacing techniques used for the heart, brain, spinal cord, and the network of nerves that interlink the brain and spinal cord with the major organs, including ear and eye prostheses. The four main offshoots of implantable electronics, which this book discusses, are: The insertion of an implantable neural amplifier for accurate recording of neural signals for neuroengineering studies The use of implantable pulse generators for pacing the activities of diseased organs The use of implantable sensors for observing the influence of therapy and monitoring a patient's biological parameters The use of drug delivery systems to supervise the supply of accurate doses of medicine to affected parts Readers will also find chapters on the essentials of clocking and timing circuits, pulse generator circuits, neural amplifiers, batteries, biomaterials and biocompatibility, and more. Unique to this book is also a chapter on cyber security and confidentiality concerns with implants. End-of-chapter questions and exercises help readers apply the content to practical use, making this an ideal book for anyone wishing to learn more about implantable devices.

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors' comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

This unifying volume offers a clear theoretical framework for the research shaping the emerging direction of informatics in health care. Contributors ground the reader in the basics of informatics methodology and design, including creating salient research questions, and explore the human dimensions of informatics in studies detailing how patients perceive, respond to, and use health data. Real-world examples bridge the theoretical and the practical as knowledge management-based solutions are applied to pervasive issues in information technologies and service delivery. Together, these articles illustrate the scope of health possibilities for informatics, from patient care management to hospital administration, from improving patient satisfaction to expanding the parameters of practice. Highlights of the coverage:* Design science research opportunities in health care * IS/IT governance in health care: an integrative model * Persuasive technologies and behavior modification through technology: design of a mobile application for behavior change * The development of a hospital secure messaging and communication platform: a conceptualization * The development of intelligent patient-centric systems for health care * An investigation on integrating Eastern and Western medicine with informatics Interest in Theories to Inform Superior Health Informatics Research and Practice cuts across academia and the healthcare industry. Its audience includes healthcare professionals, physicians and other clinicians, practicing informaticians, hospital administrators, IT departments, managers, and management consultants, as well as scholars, researchers, and students in health informatics and public health.

This book covers the most recent developments in the field of osteochondral tissue engineering (OCTE) and covers in detail the concepts and current challenges for bone and cartilage repair and regeneration. Specific topics include viscosupplementation, biologicals, tissue engineering approaches, in vitro and in vivo models, and technological advances with stem cells, bioreactors, and microfluidics. Osteochondral Tissue Engineering: Challenges, Current Strategies, and Technological Advances presents challenges and strategies in the field of osteochondral regeneration and serves as a core reference for biomedical engineering students and a wide range of established researchers and professionals working in orthopedics.

Worldwide, the population ageing is a reality. The concept of Active Ageing, adopted by the World Health Organization, aims to guarantee quality ageing and appears as a strategy to solve this demographic challenge. The technological solutions might have a key role in the promotion of human functioning and in the mitigation of disabilities, particularly those resulting from the natural ageing process. This perspective is evident in the development of Ambient Assisted Living (AAL) solutions. In this context, it is relevant to know about the recent developments in AAL and discuss future trends and challenges in this area. One of the objectives of this book is to do a systematic literature review on AAL, not only considering the technology used, but also the health condition that is intended to improve. For this purpose, we consider the human functioning, in particular the conceptual model of International Classification of Functioning, Disability and Health (ICF). Considering that the ICF conceptual framework is accepted within the healthcare domain, the use of its concepts and terminologies to promote multidisciplinary approaches for AAL solutions development processes can help to overcome difficulties of communication between users, careers and technological developers. AAL solutions must consider in their development the needs of the person that will use AAL solutions. The development must be user-centred and usability questions cannot be forgotten. In addition, the acceptance of the AAL solutions is closely related to the quality of the systems, so it is necessary to appropriately assess these solutions.