Medical Internet of Things
CRC Press (Verlag)
978-1-041-08535-5 (ISBN)
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The Medical Internet of Things (MIoT) has redefined healthcare by interconnecting devices, systems, and applications to monitor, analyze, and manage patient data in real time. MIoT leverages wearable devices, sensors, and interconnected medical equipment, enabling remote health monitoring, precision medicine, and improved patient outcomes. By seamlessly integrating patient data from various sources, MIoT leads to early diagnosis, treatment optimization, and personalized healthcare interventions. With this interconnectedness, healthcare professionals gain continuous access to patient vitals, enhancing diagnostic accuracy and response times, particularly in remote and underserved areas. This real-time data flow also facilitates predictive analytics, helping pre-empt adverse events and reducing hospital readmissions. However, MIoT also raises significant challenges, including concerns about data privacy, security, and the risk of cyber threats. The vast amounts of sensitive patient information shared across networks make privacy safeguards and robust security mechanisms essential to protect patient confidentiality and data integrity.
The potential of MIoT to revolutionize healthcare is vast, offering unprecedented opportunities for improved patient care and operational efficiency. As MIoT continues to evolve, balancing innovation with privacy and security will be crucial to fostering trust, ensuring compliance, and maximizing the benefits of this technology in healthcare.
Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India. He is presently working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, India. Prior to this he was as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE. Shabnam Kumari is a PhD scholar in the Department of Computer Science and Engineering, SRM University, Chennai, India. She has more than 3 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed 5 national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network, and has published 3 research articles in conference proceeding and journals. Her areas of interest are Machine Learning, Deep Learning, etc. She is a life time member of ACM- Women, SCRS.
Preface. 1. Smart Hospital and Healthcare Facilities. 2. Benefits of Surgical Robots. 3. Monitoring Medication Adherence: Methods, Tools, and Outcomes. 4. Integrating Smart Solutions for Healthcare and Environmental Surveillance. 5. Data Privacy in Healthcare: A Focus on MIoT Devices. 6. Big Data-based Advancements in Prostate Cancer Imaging: Artificial Intelligence-based Segmentation of Ga-PSMA PET for Tumor Volume Assessment. 7. Healthcare Data and Analytics in Medical Internet of Things (MIoT). 8. Wearable and Implantable Medical Internet of Things Devices. 9. Ultrasound Medical Image Denoising Using Block-matching and 3D-filtering with the Alternating Direction Method of Multipliers. 10. Role of 5G and Future Connectivity in MIoT. 11. Pharmacovigilance-driven Personalized Treatment Using Genomic and Medical IoT Data. 12. An Adaptive and Intelligent IoT Framework for Next Generation Rehabilitation. 13. Augmented and Virtual Reality in MIoT: Transforming Patient Care, Training, and Telemedicine. 14. Blockchain for Smart Healthcare: A Survey. 15. Integrating Blockchain and Digital Twin for Secure Drug Tracking and Personalized Medication in Smart Pharma. 16. Healthcare and Pharmaceuticals Applications. 17. Data Privacy and Confidentiality in Medical Internet of Things (MIoT). 18. Empowering Health through Intelligent Insights: Dr. Symptoms – Your Pathway to Wellness. 19. Intelligent Detection of Physical Activity and Functional Fitness Level Using Smartphone Sensors by Deep Learning Techniques. 20. Pharmaceutical Integrity and MIoT System: Ethical, Legal, and Halal Bioethical Perspectives. 21. Healthcare IoT: Trends, Application Demands, and Security Issues in Clinical IoT. 22. Label Efficient Active Learning for Coronary Artery Disease Detection and False Negatives Elimination. Index.
| Erscheint lt. Verlag | 1.5.2026 |
|---|---|
| Zusatzinfo | 10 Tables, black and white; 8 Line drawings, color; 95 Line drawings, black and white; 1 Halftones, color; 27 Halftones, black and white; 9 Illustrations, color; 122 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| ISBN-10 | 1-041-08535-4 / 1041085354 |
| ISBN-13 | 978-1-041-08535-5 / 9781041085355 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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