About the Book
This book presents a comprehensive analysis of the historical progression, present condition, and prospective trajectory of biomedical robotics through the lens of engineering. The analysis investigates the transformative impact on healthcare delivery, with a focus on precision, adaptability, and integration of artificial intelligence. BioMed Bots Assurance: Securing Robotics, Healthcare, and IT Convergence commences by providing readers with an extensive exposition of the swiftly progressing field of biomedical robotics, thereby establishing a solid foundation for a meticulous scrutiny of its transformative capacity within contemporary healthcare. This book explores multiple challenges that happen during the integration of robotics into healthcare facilities, with extra focus on implementation protocols of robust IT security. It bestows in-depth knowledge of responsible and ethical use of biomedical robotics in health care through its care analyses on privacy concerns and ethics issues. The authors include several case studies that show the realization of successful biomedical robotic systems in real-world environments, address the regulatory landscape, and offer guidance on maintaining healthcare standards.
The book is crafted for a wide-ranging audience, including undergraduate and postgraduate students, professionals, researchers, and practitioners in the fields of biomedical engineering, robotics, healthcare technology, and information technology (IT) security. It serves as an extensive resource covering fundamental concepts, advanced research, and practical applications within the realm of biomedical robotics.
Table of Contents:
Chapter 1 The Future of Driving: Exploring Human Machine Collaboration in Modern Vehicles Chapter 2 Decision Making System for FCD-Epilepsy type-II Segmentation using MRI Chapter 3 Design And Optimization of a Multiaxial Knee Exoskeleton for Lower Limb Rehabilitation Chapter 4 Comprehensive Examination of Biomedical Robotics Chapter 5 Data-Driven Models for the Prediction of the COVID-19 Transmission Chapter 6 Federated Learning and Privacy-Preservation in Healthcare Chapter 7 Revolutionizing Patient Care with Biomedical Robotics in Modern Healthcare Chapter 8 AI-Driven Robotic Systems with Cloud-Based Remote Monitoring for Enhanced Lung Cancer Diagnosis and Surgery Chapter 9 Precision medicine: Smart pills and Ingestible Robots Augmenting and Revolutionizing Drug Delivery Chapter 10 Optimizing Healthcare with Autonomous Robots: Enhancing Efficiency and Patient Care Chapter 11 Advancements in the Field of Biomedical Robotics for Ensuring Safety Chapter 12 Biomedical Robots for Surgery- The State of the Art and the Future Expected Advancements Chapter 13 The Digital Technologies in Healthcare: Navigating the Digital Transformation with Security and Operational Efficiencies Chapter 14 Design of Computer Vision-Based Autonomous Wheelchair for Spatially Abled Patients Chapter 15 Privacy-Preserving Machine Learning in Healthcare Chapter 16 Soft Robotics in Healthcare: Pioneering a New Era in Medical Intervention and Rehabilitation
About the Author :
Rajalakshmi Murugesan is an accomplished academic and researcher with 12 years of experience in Control and Instrumentation Engineering. She is currently serving as an Assistant Professor in the Department of Mechatronics Engineering at Thiagarajar College of Engineering, Madurai, India. She holds a PhD from Anna University, Chennai and specializes in areas including mathematical modeling, artificial intelligence, machine learning, biomedical engineering, and unmanned aerial vehicles (UAVs). Dr. Murugesan has an extensive publication record and has contributed to multiple book chapters. Notably, she was awarded the Best Young Researcher Award in Mechatronics by Novel Research Academy, Pondicherry. Further showcasing her academic excellence, she was completed her prestigious Young Scientist Fellowship (YSFS) at IIT Palakkad for the academic year 2023–2024, where she advanced her research endeavors. An active member of professional bodies such as ISTE, ISHRAE and BEIESP, Dr. Murugesan continues to inspire innovation and foster excellence in engineering education and research. J. Shanthi obtained her PhD from Anna University, Chennai, India. She is currently working in fault detection in through-silicon via of 3D IC, FinFET modeling, and biosensor applications. Her research interests also include VLSI physical design of 2D and 3D ICs, through-silicon vias, machine learning algorithms, optimization algorithms, processor architectures, and device modeling. Subrata Chowdhury is currently working as an Associate Professor in the Department of Computer Science and Engineering at Sri Venkateswara College of Engineering & Technology (Autonomous), Chittoor, Andhra Pradesh, India. He completed his Bachelor of Computer Applications from I.K. Gujral Punjab Technical University in 2008, followed by a Master of Computer Applications from VIT Vellore in 2015. He earned his PhD in Computer Science from VISTAS, Chennai, in 2021. Dr. Chowdhury has authored and edited over 15 books on various topics and emerging technologies. He has published more than 100 research articles in SCI-indexed journals, Scopus-indexed conferences, and book chapters, as well as presented papers at numerous national and international conferences. He also holds several patents, some of which have been granted. With an H-index of 20, he is actively involved in the global research community. He is a member of the United Nations Laboratory for Sustainability, where he has contributed by authoring seven books, editing around 20 books, and contributing to over 30 book chapters. Dr. Chowdhury has served as a session chair in numerous IEEE, Springer, and ACM conferences, and has delivered keynote talks, faculty development programs (FDPs), workshops, and seminars at various academic and research institutions. Dr. Chowdhury is a professional member of various academic and technical societies, including IEEE, IET, ISTE, IAENG, and ACM. He also serves on the editorial boards of reputed journals from Springer, Elsevier, IEEE Transactions, and ACM.
Bhisham Sharma received his Ph.D. in Computer Science & Engineering from PEC University of Technology (formerly Punjab Engineering College), Chandigarh, India, and is currently working at the Centre of Research Impact and Outcome (CRIO), Chitkara University, Punjab. With 15 years of teaching and research experience at reputed universities across India, he serves as an Associate Editor for Engineering Applications of Artificial Intelligence (Elsevier), Computers & Electrical Engineering (Elsevier), International Journal of Communication Systems (Wiley), Human-centric Computing and Information Sciences (HCIS), and PLOS ONE; a Technical Editor for Computer Communications (Elsevier); and as an Editorial Board Member for Scientific Reports (Springer Nature) and Discover Applied Sciences (Springer). He is also a Guest Editor for several Q1 journals, including Computers & Electrical Engineering (Elsevier), Sensors (MDPI), Security and Communication Networks (Hindawi), Current Medical Imaging (Bentham Science), and Environmental Science and Pollution Research (Springer). Dr. Sharma has reviewed over 500 manuscripts for prestigious journals published by IEEE, Wiley, Springer, Elsevier, Taylor & Francis, MDPI, and others. His research interests span wireless communication, wireless sensor networks, wireless mesh networks, next generation networking, network security, Internet of Things, UAV, medical image processing, artificial intelligence, deep learning, machine learning, and edge/ fog computing, with more than 140 research publications in reputed SCI and Scopus-indexed journals, international conferences, and book chapters. He also holds several patents, some of which have been granted.
