Iomt Applications In Healthcare 50
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| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 227 |
| Release | : 2020-10-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3030558339 |
This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
| Author | : D. Jude Hemanth |
| Publisher | : Springer Nature |
| Total Pages | : 265 |
| Release | : 2021-04-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3030639371 |
This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.
| Author | : Bitan Misra |
| Publisher | : Elsevier |
| Total Pages | : 220 |
| Release | : 2024-11-22 |
| Genre | : Science |
| ISBN | : 0443301581 |
IoMT Applications in Healthcare 5.0 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Sections define IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare, explore IoMT applications in Healthcare 5.0, discuss remote physical therapy using IoMT in Healthcare 5.0, delve into the security and privacy considerations of IoMT in healthcare, and address how to overcome challenges and future directions in IoMT. The book concludes by summarizing key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers and specialists who work in the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource. - Provides an integrative and multidisciplinary approach to Healthcare 5.0 - Covers recent advancement in IoMT in transitioning healthcare - Discusses the evolution of healthcare and IoMT
| Author | : Pankajavalli, P. B. |
| Publisher | : IGI Global |
| Total Pages | : 310 |
| Release | : 2019-10-11 |
| Genre | : Medical |
| ISBN | : 1799810917 |
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.
| Author | : Jihad Alja’am |
| Publisher | : Springer Nature |
| Total Pages | : 194 |
| Release | : 2021-08-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3030146472 |
This book presents the most recent research and applications in Biomedical Engineering, electronic health and TeleMedicine. Top-scholars and research leaders in the field contributed to the book. It covers a broad range of applications including smart platforms like DietHub which connects patients with doctors online. The book highlights the advantages of Telemedicine to improve the healthcare services and how it can contribute to the homogenization of medicine without any geographical barriers. Telemedicine transforms local hospitals, with limited services, into a node of an integrated network. In this manner, these nodes start to play an important role in preventive medicine and in high-level management of chronic diseases. The authors also discuss the challenges related to “health informatics” and in “e-health management”. The topics of the book include: synchronous and asynchronous telemedicine with deep discussions on e-health applications, virtual medical assistance, real-time virtual visits, digital telepathology, home health monitoring, and medication adherence, wearable sensors, tele-monitoring hubs and sensors, Internet of Things, augmented and virtual reality as well as e-learning technologies. The scope of the book is quite unique particularly in terms of the application domains that it targets. It is a unique hub for the dissemination of state of the art research in the telemedicine field and healthcare ecosystems. The book is a reference for graduate students, doctors, and researchers to discover the most recent findings, and hence, it achieves breakthroughs and pushes the boundaries in the related fields.
| Author | : Vishal Jain |
| Publisher | : John Wiley & Sons |
| Total Pages | : 384 |
| Release | : 2020-07-29 |
| Genre | : Computers |
| ISBN | : 1119641381 |
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation
| Author | : Jeya Mala, D. |
| Publisher | : IGI Global |
| Total Pages | : 312 |
| Release | : 2022-01-07 |
| Genre | : Computers |
| ISBN | : 1799891348 |
Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.
| Author | : Shabbir Syed-Abdul |
| Publisher | : MDPI |
| Total Pages | : 498 |
| Release | : 2020-06-17 |
| Genre | : Medical |
| ISBN | : 3039363506 |
This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.
| Author | : Dac-Nhuong Le |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2018-10-02 |
| Genre | : Computers |
| ISBN | : 1119509882 |
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care. With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. The groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality
| Author | : Arun Kumar Sangaiah |
| Publisher | : Academic Press |
| Total Pages | : 362 |
| Release | : 2020-11-06 |
| Genre | : Technology & Engineering |
| ISBN | : 0128232048 |
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
