Internet Of Medical Things For Smart Healthcare
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Cognitive Internet of Medical Things for Smart Healthcare
Author | : Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik |
Publsiher | : Springer Nature |
Total Pages | : 227 |
Release | : 2020-10-19 |
Genre | : Technology & Engineering |
ISBN | : 9783030558338 |
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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.
Internet of Medical Things
Author | : D. Jude Hemanth,J. Anitha,George A. Tsihrintzis |
Publsiher | : Springer Nature |
Total Pages | : 265 |
Release | : 2021-04-13 |
Genre | : Technology & Engineering |
ISBN | : 9783030639372 |
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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.
Internet of Medical Things for Smart Healthcare
Author | : Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues |
Publsiher | : Springer Nature |
Total Pages | : 312 |
Release | : 2020-11-09 |
Genre | : Technology & Engineering |
ISBN | : 9789811580970 |
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This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.
The Internet of Medical Things IoMT
Author | : R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul |
Publsiher | : John Wiley & Sons |
Total Pages | : 340 |
Release | : 2022-03-29 |
Genre | : Computers |
ISBN | : 9781119768838 |
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INTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.
Intelligent Internet of Things for Smart Healthcare Systems
Author | : Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta |
Publsiher | : CRC Press |
Total Pages | : 269 |
Release | : 2023-02-23 |
Genre | : Computers |
ISBN | : 9781000834970 |
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The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.
Machine Learning and the Internet of Medical Things in Healthcare
Author | : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar |
Publsiher | : Academic Press |
Total Pages | : 290 |
Release | : 2021-04-14 |
Genre | : Science |
ISBN | : 9780128232170 |
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Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies
Internet of Medical Things in Smart Healthcare
Author | : Krishnan Saravanan,Aboobucker Ilmudeen |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2023-09 |
Genre | : Electronic Book |
ISBN | : 1774913267 |
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Healthcare Paradigms in the Internet of Things Ecosystem
Author | : Valentina Emilia Balas,Souvik Pal |
Publsiher | : Academic Press |
Total Pages | : 412 |
Release | : 2020-11-07 |
Genre | : Science |
ISBN | : 9780128199206 |
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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