Released on 2022Categories Artificial intelligence

IoT for Elderly, Aging and EHealth

IoT for Elderly, Aging and EHealth

Author: C. H. Wu

Publisher: Springer Nature

ISBN: 9783030933876

Category: Artificial intelligence

Page: 147

View: 393

This book reflects the recent developments while providing a comprehensive introduction to the Internet of things (IoT) and cloud technologies in transforming aging. IoT has its origins in device connectivity, whereas the cloud grew out of computer science. They can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. This book is aimed at advanced undergraduates or first-year research students, as well as researchers and practitioners, and assumes no previous knowledge of IoT and cloud concepts. Basics of computer applications and concepts are required. Some familiarity with gerontechnology would be helpful, though not essential, as this book includes a self-contained introduction to how technology is transforming elderly care and eHealth management. This book aims to give references that offer more detail than is possible here and hopefully provide an entry point into a series of technologies that can improve the quality of life for the elderly. The book includes several case studies explaining how each piece of technology works and its benefits to the elderly. This book is also considered as a simple guide to the technologies for the elderly to use in the community.
Released on 2022-10-01Categories Computers

Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth Applications

Author: Sanju Mishra Tiwari

Publisher: Academic Press

ISBN: 9780323972260

Category: Computers

Page: 292

View: 627

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies Covers applications across a range of eHealth technologies, including remote monitoring and mobile health
Released on 2020-10-18Categories Science

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare

Author: Kun Chang Lee

Publisher: Academic Press

ISBN: 9780128193150

Category: Science

Page: 292

View: 922

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks
Released on 2022-02-04Categories Social Science

Research Anthology on Supporting Healthy Aging in a Digital Society

Research Anthology on Supporting Healthy Aging in a Digital Society

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781668452967

Category: Social Science

Page: 1875

View: 145

In today’s rapidly evolving society, there has been an increase in technologies and systems available to support the elderly throughout various aspects of life. We have come a long way in the quality of life we can offer our aging populations in recent years due to these technological innovations, medical advancements, and research initiatives. However, further study of these developments is crucial to ensure they are utilized to their utmost potential in securing a healthier elderly population. The Research Anthology on Supporting Healthy Aging in a Digital Society discusses the current challenges of aging in the modern world as well as recent developments in medicine and technology that can be used to improve the quality of life of elderly citizens. Covering a wide range of topics such as smart homes, remote healthcare, and aging in place, this reference work is ideal for healthcare professionals, gerontologists, therapists, government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
Released on 2015-01-31Categories Health & Fitness

Advanced Technological Solutions for E-Health and Dementia Patient Monitoring

Advanced Technological Solutions for E-Health and Dementia Patient Monitoring

Author: Xhafa, Fatos

Publisher: IGI Global

ISBN: 9781466674820

Category: Health & Fitness

Page: 389

View: 512

Mental health is a growing field, but one still limited by a lack of prior research and challenged by increased demand for new solutions and treatments. Mobile and web-based technologies have the potential to fill some of the gaps. Advanced Technological Solutions for E-Health and Dementia Patient Monitoring provides comprehensive coverage of issues in patient health and support from the perspectives of doctors, nurses, patients, and caregivers. With its focus on challenges and opportunities, as well as future research in the field, this book is a vital reference for researchers, scholars, advanced students, software developers, managers, and stakeholders working at the forefront of e-health systems.
Released on 2022-01-21Categories Computers

Anomaly Detection and Complex Event Processing Over IoT Data Streams

Anomaly Detection and Complex Event Processing Over IoT Data Streams

Author: Patrick Schneider

Publisher: Academic Press

ISBN: 9780128238196

Category: Computers

Page: 406

View: 336

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain
Released on 2018-01-05Categories Business & Economics

Optimizing Current Practices in E-Services and Mobile Applications

Optimizing Current Practices in E-Services and Mobile Applications

Author: Khosrow-Pour, Mehdi

Publisher: IGI Global

ISBN: 9781522550273

Category: Business & Economics

Page: 366

View: 661

In the modern world of mobile applications, the expansion of e-services, self-services, and mobile communication constantly allows for new multidisciplinary developments in academia and industry. Optimizing Current Practices in E-Services and Mobile Applications is a critical scholarly resource that examines issues in the production management, delivery, and consumption of e-services. Featuring coverage on a broad range of topics, such as marketing, management, social media, and entrepreneurship, this book is an ideal resource for professionals, researchers, academicians, and industry consultants with an interest in the emergence of e-services.
Released on 2021-01-04Categories Technology & Engineering

IoT in Healthcare and Ambient Assisted Living

IoT in Healthcare and Ambient Assisted Living

Author: Gonçalo Marques

Publisher: Springer Nature

ISBN: 9789811598975

Category: Technology & Engineering

Page: 371

View: 765

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.
Released on 2017-10-16Categories Mathematics

The Internet of Things

The Internet of Things

Author: Ricardo Armentano

Publisher: CRC Press

ISBN: 9781351652094

Category: Mathematics

Page: 597

View: 113

This book provides a dual perspective on the Internet of Things and ubiquitous computing, along with their applications in healthcare and smart cities. It also covers other interdisciplinary aspects of the Internet of Things like big data, embedded Systems and wireless Sensor Networks. Detailed coverage of the underlying architecture, framework, and state-of the art methodologies form the core of the book.
Released on 2016-11-29Categories Computers

eHealth 360°

eHealth 360°

Author: Kostas Giokas

Publisher: Springer

ISBN: 9783319496559

Category: Computers

Page: 505

View: 208

This book constitutes the proceedings of the International Summit on Electronic Healthcare, eHealth 360°, held in Budapest, Hungary, in June 2016. The 55 revised full papers presented along with 9 short papers were carefully reviewed and selected from 81 submissions. The papers represent the latest results from the co-located conferences as the track on games for wellbeing, the track on wearables in healthcare, the track on personal, pervasive and mobile health, the track on IoT and big data technologies for healthcare, the track on mobile medical multimedia technologies, applications and services and the track on ambient assisted living technologies based on IoT.
Released on 2021-12-22Categories Technology & Engineering

Smart Healthcare Monitoring Using IoT with 5G

Smart Healthcare Monitoring Using IoT with 5G

Author: Meenu Gupta

Publisher: CRC Press

ISBN: 9781000486421

Category: Technology & Engineering

Page: 272

View: 339

Focusing on the challenges, directions, and future predictions with the role of 5G in smart healthcare monitoring, this book offers the fundamental concepts and analyses on the methods to apply Internet of Things (IoT) in monitoring devices for diagnosing and transferring data. It also discusses self-managing to help providers improve their patients' healthcare experience. Smart Healthcare Monitoring Using IoT with 5G: Challenges, Directions, and Future Predictions illustrates user-focused wearable devices such as Fitbit health monitors and smartwatches by which consumers can self-manage and self-monitor their own health. The book covers new points of security and privacy concerns, with the expectation of IoT devices gaining more popularity within the next ten years. Case studies depicting applications and best practices as well as future predictions of smart healthcare monitoring by way of a 5G network are also included. Interested readers of this book include anyone working or involved in research in the field of smart healthcare, such as healthcare specialists, computer science engineers, electronics engineers, and pharmaceutical practitioners.