Overview

The rise of wearable medical devices transforms modern healthcare by enabling continuous patient monitoring, personalized treatment, and real-time data sharing. As these devices connect to complex healthcare networks, they introduce challenges related to data privacy, cybersecurity, and system reliability. Protecting sensitive medical information and ensuring secure communication between devices, platforms, and healthcare providers maintains patient trust and safety. Addressing these security and network protection concerns is vital for preventing cyber threats and data breaches while also supporting the development of reliable, resilient, and patient-centered digital healthcare systems. Wearable Medical Device Security and Network Protection for Reliable Healthcare explores how wearable medical devices integrate with secure network systems and the Internet of Medical Things (IoMT), highlighting their benefits and security risks. It examines vulnerabilities across hardware, software, and human factors while presenting advanced security frameworks, encryption methods, and best practices for resilient, patient-centered digital health platforms. This book covers topics such as medical devices, policymaking, and blockchain, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.

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Currently, Dr. Pandimurugan Vellaisamy serves as an Associate Professor in the Department of Computer Science and Engineering at Acharya University, Bukhara region, Karakul, Uzbekistan. He has over 16 years of professional experience in academia, including more than five years post-Ph.D. His previous appointments include roles as Assistant Professor at SRM Institute of Science and Technology (SRMIST), VIT Bhopal University, and Hindustan University, Chennai. Dr. Pandimurugan’s research expertise spans computer networks, security, health informatics, Internet of Things (IoT), and machine learning. He has made significant academic contributions, with 41 Scopus-indexed publications, including 14 in SCI journals, and has authored book chapters and patents. His research has focused on the application of AI and IoT in healthcare, notably developing algorithms for continuous blood glucose monitoring and medical imaging analysis. He has also published on topics such as disease prediction, medical data security, and smart healthcare systems. In addition to his research, Dr. Pandimurugan has served as Head of Department for CSE with a specialization in Health Informatics, project coordinator, and Ph.D. research supervisor. He is an active reviewer for several international journals and has received the Best Teacher Award from INSC Bangalore in 2020. He is a member of the Association for Computing Machinery (ACM) and has contributed to curriculum development and the establishment of research labs in health informatics. Dr. Pandimurugan’s academic leadership, research output, and commitment to advancing health informatics education and practice have established him as a recognized expert in his field Dr. Rajaram V serves as an Associate Professor in the Department of Networking and Communications, School of Computing, at SRM Institute of Science and Technology, Chennai. He has over 15 years of academic experience, including three years in his current position and a decade as Assistant Professor at Sri Venkateswara College of Engineering, as well as prior experience at Vel Tech. Dr. Rajaram’s research expertise covers wireless sensor networks, wireless communication, Internet of Things (IoT), and digital principles. He holds a Ph.D. in Information and Communication, an M.E. in Communication Systems, and a B.E. in Electronics and Communication Engineering. Throughout his career, Dr. Rajaram has contributed significantly to both teaching and research, focusing on the advancement of wireless and IoT technologies. He has played an active role in curriculum development and has guided numerous student projects and research initiatives in his areas of specialization. Dr. Rajaram’s dedication to education, research, and the development of next-generation communication systems has established him as a respected academic and mentor in his field. His commitment to academic excellence and innovation continues to inspire students and colleagues alike. Dr. A. Chinnasamy is currently an Assistant Professor in the Department of Data Science And Business Systems, with nearly 15 years of academic experience. He holds a B.E., M.E., and Ph.D., and has demonstrated expertise in areas such as vehicular ad hoc networks (VANETs), Internet of Things (IoT), machine learning, and wireless communication. Dr. Chinnasamy has made significant research contributions, with 13 publications indexed in Scopus, 4 in Web of Science, and a total of 22 in Google Scholar. His work has garnered over 100 citations, reflecting his impact in the field. He has authored book chapters, published in reputed journals, and presented at both national and international conferences. His research includes the development of secure routing protocols for VANETs, anomaly detection in sensor-based cyber-physical systems, and IoT-based health assistance systems. He also holds a granted patent on cooperative sensing and control in IoT networks using machine learning algorithms, and has filed another on emotion recognition for fitness applications. In addition to his research, Dr. Chinnasamy is actively involved in academic leadership and service. He is an Anna University recognized Ph.D. supervisor, guiding nine research scholars, and serves as a reviewer for several SCI journals. He has contributed to curriculum development, coordinated departmental activities, and organized workshops and seminars. His professional memberships include the Computer Society of India (CSI), International Association of Engineers (IAENG), Indian Society for Technical Education (ISTE), and IEEE. Dr. Chinnasamy’s dedication to teaching, research, and academic service has established him as a respected educator and researcher in computer science and engineering, with a strong commitment to advancing knowledge in wireless networks, IoT, and intelligent systems. Dr. Amudhavel Jayavel Senior Lecturer, De Montfort University, Leicester, United Kingdom Expert in Generative Adversarial Networks, Deep Computational Imaging & Image Reconstruction Dr. Amudhavel Jayavel is a seasoned academic and researcher specializing in computational imaging and deep learning, with a focus on Generative Adversarial Networks (GANs). With over a decade of teaching, research, and leadership experience across institutions in India and Europe, he currently serves as a Senior Lecturer at De Montfort University, Leicester, UK. Prior to this, he held key research and academic roles at the University of Tartu (Estonia), VIT Bhopal University, KL University, and Sri Manakula Vinayagar Engineering College. His research interests span generative models, image reconstruction, computer vision, and deep learning frameworks such as TensorFlow, PyTorch, and Keras. His work has led to significant advancements in visual data enhancement, including super-resolution imaging, noise reduction, and the recovery of corrupted visual data. Dr. Amudhavel has published extensively in Web of Science and Scopus-indexed journals and is known for his contributions to computational techniques that address complex imaging challenges. He holds a Ph.D. in Computer Science and Engineering from Pondicherry University, where he was awarded the prestigious INSPIRE Fellowship. He has also earned several academic accolades, including being a gold medalist in M.Tech and achieving All India Rank 15 in the national M.Tech entrance examination. In addition to his research credentials, Dr. Amudhavel has been actively involved in digital outreach, curriculum development, and student mentorship. His certifications in cloud computing and blockchain further complement his technical repertoire.

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