IoMT Applications in Healthcare 5.0
- 1st Edition - November 5, 2024
- Imprint: Academic Press
- Authors: Bitan Misra, Sayan Chakraborty, Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 0 1 5 7 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 0 1 5 8 - 2
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… Read more
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Request a sales quoteIoMT 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.
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
Biomedical Engineers, Data Scientists, and IoT Developers specialist on the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences
- IoMT Applications in Healthcare 5.0
- Cover image
- Title page
- Table of Contents
- Copyright
- About the authors
- Preface
- Chapter 1 Introduction
- Abstract
- Keywords
- 1.1 Introduction
- 1.2 Evolution of the healthcare industry
- 1.2.1 Healthcare 1.0
- 1.2.2 Healthcare 2.0
- 1.2.3 Healthcare 3.0
- 1.2.4 Healthcare 4.0
- 1.2.5 Healthcare 5.0
- 1.3 The Internet of Medical Things (IoMT) in connecting medical devices
- 1.3.1 Impact of IoMT in the healthcare sector
- 1.3.2 IoMT in healthcare 5.0
- References
- Chapter 2 Understanding IoMT
- Abstract
- Keywords
- 2.1 Defining IoMT
- 2.1.1 Onbody IoMT devices
- 2.1.2 In-home IoMT devices
- 2.1.3 In-clinic IoMT devices
- 2.1.4 Community IoMT devices
- 2.2 IoMT framework
- 2.2.1 Physical layer
- 2.2.2 Network layer
- 2.2.3 Application layer
- 2.3 Key components of IoMT
- 2.3.1 Devices and sensors
- 2.3.2 Connectivity
- 2.3.3 Data management
- 2.4 Technologies used in IoMT
- 2.4.1 Wireless communication technologies in the IoMT
- 2.4.2 Cloud computing, fog computing and edge computing in IoMT
- 2.4.3 AI in IoMT
- 2.4.4 Blockchain in IoMT
- References
- Chapter 3 IoMT in Healthcare 5.0
- Abstract
- Keywords
- 3.1 IoMT in Healthcare 5.0
- 3.2 Remote patient monitoring: Enhancing care and improving outcomes
- 3.2.1 IoT in RPMs
- 3.2.2 AI in RPM
- 3.2.3 5G in RPM
- 3.2.4 IoMT in the RPM in Healthcare 5.0
- 3.2.5 Mental health monitoring
- 3.2.6 Anxiety and stress monitoring
- 3.2.7 Seizure detection
- 3.2.8 Fall detection
- 3.2.9 Sleep monitoring
- 3.2.10 Benefits of remote patient monitoring
- 3.3 Smart wearables: Empowering individuals for personalized healthcare
- 3.3.1 Challenges of wearable devices
- 3.4 IoMT and telemedicine: Enabling virtual care and remote consultations
- 3.5 IoMT in hospital settings: Enhancing efficiency and patient safety
- 3.5.1 Smart medicine
- 3.5.2 Smart hospitals
- 3.5.3 Smart operation theatre
- 3.6 IoMT and precision medicine: Personalizing treatment approaches
- 3.6.1 Development of precision medicine
- 3.6.2 Role of the IoMT in precision medicine
- 3.7 Connected medical devices: Revolutionizing diagnostics and treatment
- 3.7.1 Treatment and disease detection
- 3.7.2 Remote surgery
- 3.8 Secure drug supply chain management
- References
- Chapter 4 Overview of the importance of identifying research gaps in IoMT applications in healthcare
- Abstract
- Keywords
- 4.1 Overview of the importance of identifying research gaps in IoMT applications in healthcare
- 4.2 Introduction to bibliometric analysis as a method for analyzing research literature
- 4.2.1 Key concepts in bibliometric analysis
- 4.3 Explanation of key concepts and techniques used in bibliometric analysis
- 4.3.1 Performance analysis
- 4.3.2 Science mapping
- 4.4 Overview of the steps involved in conducting a bibliometric analysis for research gap identification
- 4.5 Explanation of the selection criteria for the literature corpus and data sources
- 4.6 Database description
- 4.7 Bibliometric analysis of IoMT applications
- 4.7.1 Analysis of the most popular journals
- 4.7.2 Analysis of the most influential organization
- 4.7.3 Analysis of the most influential countries
- 4.7.4 Analysis of the co-occurrence of keywords in the research area of IoMT applications
- 4.7.5 Co-citation of cited authors
- 4.8 Bibliometric analysis of Healthcare 5.0
- 4.8.1 Analysis of the most popular journals
- 4.8.2 Analysis of the most active organization in Healthcare 5.0 research
- 4.8.3 Analysis of the most influential countries
- 4.8.4 Most popular keywords used in Healthcare 5.0 research
- 4.8.5 Co-citation of cited authors
- 4.9 IoMT applications and healthcare
- 4.9.1 Analysis of the most popular journals
- 4.9.2 Analysis of the most influential countries
- 4.9.3 Analysis of highly used keywords
- 4.9.4 Co-citation of cited authors
- 4.10 Conclusions
- References
- Chapter 5 Remote physical therapy using IoMT in Healthcare 5.0
- Abstract
- Keywords
- 5.1 Remote physical therapy using IoMT in Healthcare 5.0
- 5.1.1 Microchip technology in empowering IoMTs
- 5.2 Fall detection using IoMT in Healthcare 5.0
- 5.2.1 Apple watch for fall detection
- 5.2.2 Tango Belt for fall detection
- 5.3 Smart pill
- 5.3.1 CapsoCam pill
- 5.3.2 OMOM pill
- 5.4 Sleep monitoring
- 5.4.1 AltexSoft
- 5.4.2 Oura ring
- 5.5 Diabetes monitoring
- 5.5.1 Dexcom
- 5.6 IoMT cloud platforms
- 5.7 Challenges of practical IoMT implementation and solutions
- 5.7.1 Connectivity problem
- 5.7.2 Performances of the fall detectors under real-life conditions
- 5.7.3 Usability of fall detector IoMT devices
- 5.7.4 Acceptance of IoMT devices
- 5.7.5 Privacy concerns of IoMT devices
- 5.8 Conclusions
- References
- Chapter 6 Security and privacy considerations in IoMT in Healthcare 5.0
- Abstract
- Keywords
- 6.1 Safety and privacy considerations in IoMTs in Healthcare 5.0
- 6.2 Ensuring data security in the IoMT: Encryption, authentication, and access control
- 6.3 Privacy challenges and regulatory compliance in IoMTs
- 6.4 Ethical considerations in the use of IoMT data
- 6.5 Security requirements of Healthcare 5.0
- 6.6 Possible threats and attacks of Healthcare 5.0
- 6.6.1 Data breaches and privacy concerns
- 6.6.2 Ransomware attacks
- 6.6.3 Medical device vulnerabilities
- 6.6.4 AI bias and malicious manipulation
- 6.7 Threat model of Healthcare 5.0
- References
- Chapter 7 Overcoming challenges and future directions
- Abstract
- Keywords
- 7.1 Challenges and future directions
- 7.2 Interoperability and standardization in IoMT
- 7.2.1 Interoperability in IoMTs
- 7.3 Data privacy concerns and building trust
- 7.3.1 Data encryption for IoMT privacy concerns
- 7.3.2 Addressing IoMT and data privacy concerns with secure communication channels
- 7.3.3 Regulatory frameworks for IoMT and data privacy
- 7.4 Emerging trends and future possibilities in IoMT
- 7.4.1 Consumer health wearables
- 7.4.2 Clinical-grade wearable devices
- 7.4.3 Remote patient monitoring
- 7.4.4 Personal emergency response system
- 7.4.5 Telehealth virtual visits
- 7.4.6 Logistics
- 7.4.7 In-clinic segmentation
- 7.4.8 Asset management
- 7.4.9 Patient flow management
- 7.4.10 Innovative devices
- References
- Chapter 8 Conclusions
- Abstract
- Keywords
- 8.1 Conclusions
- 8.2 The promising future of IoMT in Healthcare 5.0
- 8.3 Embracing the IoMT revolution for improved healthcare delivery
- References
- Index
- Edition: 1
- Published: November 5, 2024
- Imprint: Academic Press
- No. of pages: 300
- Language: English
- Paperback ISBN: 9780443301575
- eBook ISBN: 9780443301582
BM
Bitan Misra
Bitan Misra is currently working as an Assistant Professor, in Dept. of CSE, Techno International New Town, Kolkata, India. She received her B. Tech and M. Tech dual degree in Electronics and Telecommunication Engineering from KIIT University, Bhubaneswar, India in 2018. She received her Ph.D. in 2022 from National Institute of Technology, Durgapur, India. She received a Gold Medal during her UG for securing the highest CGPA in the university. She has published almost 15 research papers in various international journals and conferences and has three copyrights. Her main research interests include optimization techniques, deep learning, evolutionary algorithms and soft computing techniques. She has worked as a reviewer in several national and international journals and conferences. She is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global. She is a member of IEEE and Internet Society.
Affiliations and expertise
Assistant Professor, Department of CSE, Techno International New Town, Kolkata, IndiaSC
Sayan Chakraborty
Sayan Chakraborty is currently working as a Assistant Professor in the Department of Computer Science and Engineering at the Techno International New Town, West Bengal, India. He has completed his Ph.D. in Image registration from Sikkim Manipal University in the year 2023. He has completed M.Tech from Computer Science & Engineering, JIS College of Engineering. He also completed his B. Tech. from the same college. He has academic experience of 10 years. His research area includes digital image processing, nature inspired algorithms and machine learning. He has about 65 research papers published in international journals, book chapters and conferences on various topics such as optimization, artificial intelligence, pattern recognition and digital image processing. He has 1 book published in Springer. He is an Associate Editor of International Journal of Ambient Computing and Intelligence, IGI Global and Editorial Board member of International Journal of Rough Sets and Data Analysis (IJRSDA) , IGI Global. He is a senior member of IEEE.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Techno International New Town, West Bengal, IndiaND
Nilanjan Dey
Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UKRead IoMT Applications in Healthcare 5.0 on ScienceDirect