The Internet Of Medical Things Iomt

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The Internet of Medical Things (IoMT)

Author : R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 54,6 Mb
Release : 2022-03-29
Category : Computers
ISBN : 9781119768838

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The Internet of Medical Things (IoMT) by R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul Pdf

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.

Cognitive Internet of Medical Things for Smart Healthcare

Author : Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik
Publisher : Springer Nature
Page : 227 pages
File Size : 55,7 Mb
Release : 2020-10-19
Category : Technology & Engineering
ISBN : 9783030558338

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Cognitive Internet of Medical Things for Smart Healthcare by Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik Pdf

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
Publisher : Springer Nature
Page : 265 pages
File Size : 51,7 Mb
Release : 2021-04-13
Category : Technology & Engineering
ISBN : 9783030639372

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Internet of Medical Things by D. Jude Hemanth,J. Anitha,George A. Tsihrintzis Pdf

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.

Data Modelling and Analytics for the Internet of Medical Things

Author : Rajiv Pandey,Pratibha Maurya,Raymond Chiong
Publisher : CRC Press
Page : 358 pages
File Size : 55,7 Mb
Release : 2023-12-22
Category : Technology & Engineering
ISBN : 9781003825838

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Data Modelling and Analytics for the Internet of Medical Things by Rajiv Pandey,Pratibha Maurya,Raymond Chiong Pdf

The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies. Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of IoMT, discussing in detail the IoMT, connected smart medical devices, and their applications to improve health outcomes. It explores various methodologies and solutions for medical data analytics in healthcare systems using machine learning and deep learning approaches, as well as exploring how technologies such as blockchain and cloud computing can further enhance data analytics in the e-health domain. Prevalent IoMT case studies and applications are also discussed. This book is suitable for scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for IoMT courses.

Internet of Medical Things

Author : Manuel Cardona,Vijender Kumar Solanki,Cecilia E. García Cena
Publisher : CRC Press
Page : 181 pages
File Size : 50,7 Mb
Release : 2021-02-25
Category : Computers
ISBN : 9781000335057

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Internet of Medical Things by Manuel Cardona,Vijender Kumar Solanki,Cecilia E. García Cena Pdf

Internet of Things (IoT) has become a valuable tool for connection and information exchange between devices. This book provides a brief introduction to this new field, focuses on wearable medical devices, and covers the basic concepts by providing the reader with enough information to solve various practical problems. This book provides the latest applications, experiments, fundamentals concepts, and cutting-edge topics for the ehealth and wearable devices field. The book also offers topics related to Security in IoT and Wearable Devices, Wearable Devices and Internet of Medical Devices (IoMT), IoT for Medical Applications, and Tools and study cases. The book brings new and valuable information to PhD researchers, students, professors, and professionals working in IoT and related fields.

Advanced Healthcare Systems

Author : Rohit Tanwar,S. Balamurugan,Rakesh Kumar Saini,Vishal Bharti,Premkumar Chithaluru
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 52,5 Mb
Release : 2022-02-01
Category : Computers
ISBN : 9781119769279

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Advanced Healthcare Systems by Rohit Tanwar,S. Balamurugan,Rakesh Kumar Saini,Vishal Bharti,Premkumar Chithaluru Pdf

ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound—that can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector.

Evolving Role of AI and IoMT in the Healthcare Market

Author : Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj
Publisher : Springer Nature
Page : 283 pages
File Size : 46,9 Mb
Release : 2022-01-06
Category : Technology & Engineering
ISBN : 9783030820794

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Evolving Role of AI and IoMT in the Healthcare Market by Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj Pdf

This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.

Medical Big Data and Internet of Medical Things

Author : Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publisher : CRC Press
Page : 366 pages
File Size : 46,9 Mb
Release : 2018-10-25
Category : Computers
ISBN : 9781351030366

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Medical Big Data and Internet of Medical Things by Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra Pdf

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Security and Privacy Issues in Internet of Medical Things

Author : Rajkumar Buyya,Muhammad Imran Tariq,Valentina Emilia Balas,Guojun Wang,Radu Prodan
Publisher : Academic Press
Page : 158 pages
File Size : 45,5 Mb
Release : 2023-02-14
Category : Science
ISBN : 9780323885942

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Security and Privacy Issues in Internet of Medical Things by Rajkumar Buyya,Muhammad Imran Tariq,Valentina Emilia Balas,Guojun Wang,Radu Prodan Pdf

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting. Provides methods for constructing novel IoMT architectures and middleware services for healthcare applications to protect and secure patient data and privacy Presents readers with information security and privacy models for IoMT, including Artificial Intelligence and Deep Learning, Data Storage security, Cloud, Fog and Edge computing security, and Wireless sensor device security Provides readers with case studies for real-world applications of IoMT security, including risk assessment for IoMT, Ethical issues in IoMT, Security assessment frameworks, and Threat-based security analysis for IoMT

The Internet of Medical Things

Author : Subhendu Kumar Pani,Priyadarsan Patra,Gianluigi Ferrari,Radoslava Kraleva,Xinheng Wang
Publisher : IET
Page : 383 pages
File Size : 53,9 Mb
Release : 2021-12-22
Category : Computers
ISBN : 9781839532733

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The Internet of Medical Things by Subhendu Kumar Pani,Priyadarsan Patra,Gianluigi Ferrari,Radoslava Kraleva,Xinheng Wang Pdf

Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.

The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications

Author : Rajiv Pandey,Amrit Gupta,Agnivesh Pandey
Publisher : Medical Information Science Reference
Page : 300 pages
File Size : 48,8 Mb
Release : 2022
Category : Internet of things
ISBN : 1668435330

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The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications by Rajiv Pandey,Amrit Gupta,Agnivesh Pandey Pdf

"This book focuses on the role of artificial intelligence along with Internet of Medical Things ( IoMT) and Telemedicine, studying the advantages that can be drawn by the integration of these technologies and introducing evolving methodologies to develop frameworks for the integration of IoMT and Telemedicine"--

Advances in Fuzzy-Based Internet of Medical Things (IoMT)

Author : Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque
Publisher : John Wiley & Sons
Page : 253 pages
File Size : 43,6 Mb
Release : 2024-03-12
Category : Computers
ISBN : 9781394242238

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Advances in Fuzzy-Based Internet of Medical Things (IoMT) by Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque Pdf

ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

Machine Learning and the Internet of Medical Things in Healthcare

Author : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Publisher : Academic Press
Page : 290 pages
File Size : 46,6 Mb
Release : 2021-04-14
Category : Science
ISBN : 9780128232170

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Machine Learning and the Internet of Medical Things in Healthcare by Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar Pdf

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 Things and Sensor Network for COVID-19

Author : Siba Kumar Udgata,Nagender Kumar Suryadevara
Publisher : Springer Nature
Page : 101 pages
File Size : 52,6 Mb
Release : 2020-07-22
Category : Technology & Engineering
ISBN : 9789811576546

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Internet of Things and Sensor Network for COVID-19 by Siba Kumar Udgata,Nagender Kumar Suryadevara Pdf

This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

Author : Hassan, Ahdi,Bhattacharya, Pronaya,Tikadar, Subrata,Dutta, Pushan Kumar,Sagayam, Martin
Publisher : IGI Global
Page : 471 pages
File Size : 51,5 Mb
Release : 2024-05-17
Category : Medical
ISBN : 9798369321102

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Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) by Hassan, Ahdi,Bhattacharya, Pronaya,Tikadar, Subrata,Dutta, Pushan Kumar,Sagayam, Martin Pdf

In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.