Intelligent Iot Systems In Personalized Health Care

Author by : Arun Kumar Sangaiah
Languange : en
Publisher by : Academic Press
Format Available : PDF, ePub, Mobi
Total Read : 84
Total Download : 863
File Size : 49,6 Mb
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Description : Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data


Applications Of Deep Learning And Big Iot On Personalized Healthcare Services

Author by : Wason, Ritika
Languange : en
Publisher by : IGI Global
Format Available : PDF, ePub, Mobi
Total Read : 26
Total Download : 837
File Size : 47,9 Mb
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Description : Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.


Iot System Design

Author by : Alice James
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 11
Total Download : 170
File Size : 54,6 Mb
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Description : This book presents a step by step design approach to develop and implement an IoT system starting from sensor, interfacing to embedded processor, wireless communication, uploading measured data to cloud including data visualization along with machine learnings and artificial intelligence. The book will be extremely useful towards a hands-on approach of designing and fabricating an IoT system especially for upper undergraduate, master and PhD students, researchers, engineers and practitioners.


Intelligent Manufacturing And Energy Sustainability

Author by : A. N. R. Reddy
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 56
Total Download : 821
File Size : 53,7 Mb
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Description : This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.


Intelligent Healthcare

Author by : Surbhi Bhatia
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 14
Total Download : 731
File Size : 42,8 Mb
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Description : This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.


Incorporating The Internet Of Things In Healthcare Applications And Wearable Devices

Author by : Pankajavalli, P. B.
Languange : en
Publisher by : IGI Global
Format Available : PDF, ePub, Mobi
Total Read : 57
Total Download : 895
File Size : 54,8 Mb
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Description : The internet of things (IoT) has had a major impact on academic and industrial fields. Applying these technologies to healthcare systems reduces medical costs while enriching the patient-centric approach to medicine, allowing for better overall healthcare proficiency. However, usage of IoT in healthcare is still suffering from significant challenges with respect to the cost and accuracy of medical sensors, non-standard IoT system architectures, assorted wearable devices, the huge volume of generated data, and interoperability issues. Incorporating the Internet of Things in Healthcare Applications and Wearable Devices is an essential publication that examines existing challenges and provides solutions for building smart healthcare systems with the latest IoT-enabled technology and addresses how IoT improves the proficiency of healthcare with respect to wireless sensor networks. While highlighting topics including mobility management, sensor integration, and data analytics, this book is ideally designed for computer scientists, bioinformatics analysts, doctors, nurses, hospital executives, medical students, IT specialists, software developers, computer engineers, industry professionals, academicians, researchers, and students seeking current research on how these emerging wireless technologies improve efficiency within the healthcare domain.


Artificial Intelligence Based Internet Of Things Systems

Author by : Souvik Pal
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 48
Total Download : 742
File Size : 51,6 Mb
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Description : The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.


Assistive Technology Intervention In Healthcare

Author by : Shruti Jain
Languange : en
Publisher by : CRC Press
Format Available : PDF, ePub, Mobi
Total Read : 56
Total Download : 680
File Size : 53,9 Mb
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Description : Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology. Features Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field Explains machine learning–based approaches to improvement in health engineering areas Reviews the IoT, cloud computing and data analytics in healthcare informatics Discusses modeling and simulations in the design of biomedical equipment Explores monitoring of physiological data This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.


Intelligent Human Systems Integration

Author by : Waldemar Karwowski
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 16
Total Download : 187
File Size : 48,8 Mb
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Description : This book reports on research on innovative human systems integration and human-machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation. It covers a wide range of applications in the area of design, construction and operation of products, systems and services, including lifecycle development and human-technology interaction. The book describes advanced methodologies and tools for evaluating and improving interface usability, new models, as well as case studies and best practices in virtual, augmented and mixed reality systems, with a special focus on dynamic environments. It also discusses different factors concerning the human, hardware, and artificial intelligence software. Based on the proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018), held on January 7-9, 2018, in Dubai, United Arab Emirates, the book also examines the forces that are currently shaping the nature of computing and cognitive systems, such as the need for decreasing hardware costs; the importance of infusing intelligence and automation, and the related trend toward hardware miniaturization and power reduction; the necessity for a better assimilation of computation in the environment; and the social concerns regarding access to computers and systems for people with special needs. It offers a timely survey and a practice-oriented reference guide to policy- and decision-makers, human factors engineers, systems developers and users alike.


Transforming Ergonomics With Personalized Health And Intelligent Workplaces

Author by : M. Vega-Barbas
Languange : en
Publisher by : IOS Press
Format Available : PDF, ePub, Mobi
Total Read : 51
Total Download : 693
File Size : 43,9 Mb
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Description : Life expectancy is increasing, and we are all expected to work for longer as a result. A balance must be found between the demands of work and human capabilities, and this makes the prevention of workplace-related health problems more important than ever. Emerging technologies, such as smart textiles, wearable devices, and the Internet of Things have enabled the development of intelligent biomedical clothing and the integration of pervasive sensitive services into the environment, and together with ambient intelligence technology techniques and big data analytics, have fostered a proliferation of p-Health monitoring solutions. This book presents a collection of the most significant challenges and advances in the field of intelligent workspaces and personalized ergonomics, bringing together the most relevant results of various international research projects. The book is organized into three main sections: Personalized Ergonomics, which explores the need for practical and reliable risk assessment methods for the prevention of musculoskeletal disorders and the enhancement of the workplace; Pervasive Technology for Intelligent Workplaces, which identifies the opportunities and challenges of technology-based interventions and the security and privacy issues of the smart workplace; and Data Warehouse Governance and Analytics. The book concludes with a chapter on lessons learnt. The transformation of the working environment into a healthy and intelligent space will not only support ergonomists, employees and employers, but may also be the solution to the sustainability of our current social welfare systems, and the book will be of interest to all those concerned with workplace health.


Hybrid Artificial Intelligence And Iot In Healthcare

Author by : Akash Kumar Bhoi
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 65
Total Download : 377
File Size : 54,6 Mb
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Description : This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.


Intelligent Computing

Author by : Kohei Arai
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 58
Total Download : 871
File Size : 51,6 Mb
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Description : This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject. .


An Industrial Iot Approach For Pharmaceutical Industry Growth

Author by : Valentina Emilia Balas
Languange : en
Publisher by : Academic Press
Format Available : PDF, ePub, Mobi
Total Read : 41
Total Download : 919
File Size : 47,9 Mb
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Description : An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing. This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance. Emphasizes efficiency in pharmaceutical manufacturing through an IoT/Big Data approach Explores cutting-edge technologies through sensor enabled environments in the pharmaceutical industry Discusses system levels from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing


The Internet Of Things In The Industrial Sector

Author by : Zaigham Mahmood
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 70
Total Download : 690
File Size : 49,8 Mb
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Description : This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.


Advances In Multidisciplinary Medical Technologies Engineering Modeling And Findings

Author by : Abdeldjalil Khelassi
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 77
Total Download : 140
File Size : 48,8 Mb
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Description : This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.


Advanced Prognostic Predictive Modelling In Healthcare Data Analytics

Author by : Sudipta Roy
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 50
Total Download : 144
File Size : 54,7 Mb
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Description : This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.


Connected Health Status And Trends

Author by : Constantinos S. Pattichis
Languange : en
Publisher by : Frontiers Media SA
Format Available : PDF, ePub, Mobi
Total Read : 68
Total Download : 455
File Size : 47,8 Mb
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Description :


Machine Learning For Healthcare Applications

Author by : Sachi Nandan Mohanty
Languange : en
Publisher by : John Wiley & Sons
Format Available : PDF, ePub, Mobi
Total Read : 41
Total Download : 565
File Size : 46,7 Mb
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Description : When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.


Healthcare Systems Management Methodologies And Applications

Author by : Pradip Kumar Ray
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 82
Total Download : 885
File Size : 51,8 Mb
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Description : This edited volume focuses on research conducted in the area of healthcare systems management. Chapters are extensions of works presented at the International Conference on Management of Ergonomic Design, Industrial Safety and Healthcare Systems. The book addresses the need to have the knowledge of technological and resource management, clinical performances and quality of healthcare delivery systems in order to make hospital systems well and adequately designed and operationally effective ensuring the quality of healthcare to patients. It is a useful resource for students, researchers, industrial professionals and design engineers.


Iot Technologies For Healthcare

Author by : Nuno M. Garcia
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 14
Total Download : 820
File Size : 48,6 Mb
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Description : This book constitutes the proceedings of the 6th International Conference on Internet of Things (IoT) Technologies for HealthCare, HealthyIoT 2019, held in Braga, Portugal, in December 2019. The IoT as a set of existing and emerging technologies, notions and services can provide many solutions to delivery of electronic healthcare, patient care, and medical data management. The 10 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers cover topics such as healthcare information systems, consumer health, health informatics, engineering, telecommunications, mathematics and statistics, life and medical sciences, and cloud computing.


Sustainable And Energy Efficient Computing Paradigms For Society

Author by : Mohd Abdul Ahad
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 93
Total Download : 755
File Size : 52,9 Mb
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Description : This book provides insights into recent trends and innovation of technologies aiming to provide sustainable and energy efficient computing. The authors discuss approaches to provide solutions to real life societal issues and problems using sustainable and energy efficient computing approaches. The book gathers research and state of the art reviews on solutions for societal benefits by using sustainable approaches of computing. The book also intends to provide use-cases for certain real life societal problems. The book can be used by researchers of similar areas, technologists, environmentalists, educationists, research scholars and UG/PG Students as well.


Big Data In Psychiatry And Neurology

Author by : Ahmed A. Moustafa
Languange : en
Publisher by : Academic Press
Format Available : PDF, ePub, Mobi
Total Read : 74
Total Download : 263
File Size : 51,6 Mb
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Description : Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics


Iot In Healthcare And Ambient Assisted Living

Author by : Gonçalo Marques
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 93
Total Download : 765
File Size : 45,7 Mb
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Description : This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.


Next Generation Mobile And Pervasive Healthcare Solutions

Author by : Machado, Jose
Languange : en
Publisher by : IGI Global
Format Available : PDF, ePub, Mobi
Total Read : 77
Total Download : 153
File Size : 51,7 Mb
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Description : Technology is changing the practice of healthcare by the ways medical information is stored, shared, and accessed. With mobile innovations, new strategies are unfolding to further advance processes and procedures in medical settings. Next-Generation Mobile and Pervasive Healthcare Solutions is an advanced reference source for the latest research on emerging progress and applications within mobile health initiatives and health informatics. Featuring coverage on a broad range of topics and perspectives such as electronic health records (EHR), clinical decision support systems, and medical ontologies, this publication is ideally designed for professionals and researchers seeking scholarly material on the increased use of mobile health applications.


Healthcare Paradigms In The Internet Of Things Ecosystem

Author by : Valentina Emilia Balas
Languange : en
Publisher by : Academic Press
Format Available : PDF, ePub, Mobi
Total Read : 11
Total Download : 484
File Size : 49,7 Mb
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Description : Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. Presents the complete functional framework workflow in IoT-enabled healthcare technologies Explains concepts of location-aware protocols and decisive mobility in IoT healthcare Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things


Delivering Superior Health And Wellness Management With Iot And Analytics

Author by : Nilmini Wickramasinghe
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 26
Total Download : 145
File Size : 41,9 Mb
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Description : This in-depth book addresses a key void in the literature surrounding the Internet of Things (IoT) and health. By systematically evaluating the benefits of mobile, wireless, and sensor-based IoT technologies when used in health and wellness contexts, the book sheds light on the next frontier for healthcare delivery. These technologies generate data with significant potential to enable superior care delivery, self-empowerment, and wellness management. Collecting valuable insights and recommendations in one accessible volume, chapter authors identify key areas in health and wellness where IoT can be used, highlighting the benefits, barriers, and facilitators of these technologies as well as suggesting areas for improvement in current policy and regulations. Four overarching themes provide a suitable setting to examine the critical insights presented in the 31 chapters: Mobile- and sensor-based solutions Opportunities to incorporate critical aspects of analytics to provide superior insights and thus support better decision-making Critical issues around aspects of IoT in healthcare contexts Applications of portals in healthcare contexts A comprehensive overview that introduces the critical issues regarding the role of IoT technologies for health, Delivering Superior Health and Wellness Management with IoT and Analytics paves the way for scholars, practitioners, students, and other stakeholders to understand how to substantially improve health and wellness management on a global scale.


Gerontechnology

Author by : José García-Alonso
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 13
Total Download : 118
File Size : 42,9 Mb
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Description : This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Gerotechnology, IWoG 2019, held in Cáceres, Spain, in September 2019. The 24 revised full papers along with 11 short papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on smart technologies and algorithms for health; technologies to increase the quality of life of the elderly population;Internet of Things (IoT); solutions for active aging, social integration and self-care; monitoring and management of chronic and non-chronic diseases; health interventions to support caregivers of elderly people; public and other health initiatives.


Iot Security Paradigms And Applications

Author by : Sudhir Kumar Sharma
Languange : en
Publisher by : CRC Press
Format Available : PDF, ePub, Mobi
Total Read : 25
Total Download : 209
File Size : 49,7 Mb
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Description : Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment