Medical Internet of Things Perspectives, Impact and Challenges

Preface iii

1. Smart Hospital and Healthcare Facilities 1

2. Benefits of Surgical Robots 26

3. Monitoring Medication Adherence: Methods, Tools, and Outcomes 44

4. Integrating Smart Solutions for Healthcare and Environmental Surveillance 61

5. Data Privacy in Healthcare: A Focus on MIoT Devices 84

6. Big Data-based Advancements in Prostate Cancer Imaging: Artificial Intelligence-based Segmentation of Ga-PSMA PET for Tumor Volume Assessment 102

7. Healthcare Data and Analytics in Medical Internet of Things (MIoT) 116

8. Wearable and Implantable Medical Internet of Things Devices 141

9. Ultrasound Medical Image Denoising Using Block-matching and 3D-filtering with the Alternating Direction Method of Multipliers 169

10. Role of 5G and Future Connectivity in MIoT 183

11. Pharmacovigilance-driven Personalized Treatment Using Genomic and Medical IoT Data 194

12. An Adaptive and Intelligent IoT Framework for Next Generation Rehabilitation 213

13. Augmented and Virtual Reality in MIoT: Transforming Patient Care, Training, and Telemedicine 231

14. Blockchain for Smart Healthcare: A Survey 252

15. Integrating Blockchain and Digital Twin for Secure Drug Tracking and Personalized Medication in Smart Pharma 273

16. Healthcare and Pharmaceuticals Applications 296

17. Data Privacy and Confidentiality in Medical Internet of Things (MIoT) 314

18. Empowering Health through Intelligent Insights: Dr. Symptoms – Your Pathway to Wellness 332

19. Intelligent Detection of Physical Activity and Functional Fitness Level Using Smartphone Sensors by Deep Learning Techniques 354

20. Pharmaceutical Integrity and MIoT System: Ethical, Legal, and Halal Bioethical Perspectives 367

21. Healthcare IoT: Trends, Application Demands, and Security Issues in Clinical IoT 388

22. Label Efficient Active Learning for Coronary Artery Disease Detection and False Negatives Elimination 404

Index 419

vi Contents

Biography

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 Research Scholar in the Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 6 years of experience including teaching, research and other areas. She completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the areas of IoTs, Machine Learning, Deep Learning and Wireless Networks. She has published over twenty research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.