Biomed Bots Assurance: - Securing Robotics, Healthcare, and It Convergence

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 and addresses the regulatory landscape and offers 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.

List 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

Dr. Rajalakshmi Murugesan is an accomplished academic and researcher with 12 years of experience in Control and Instrumentation Engineering. She is an Assistant Professor in the Department of Mechatronics Engineering at Thiagarajar College of Engineering, Madurai. She holds a Ph.D. from Anna University and specializes in areas including mathematical modeling, artificial intelligence, machine learning, biomedical engineering, and unmanned aerial vehicles (UAVs). Notably, she was awarded the Best Young Researcher Award in Mechatronics by Novel Research Academy, Pondicherry. Further showcasing her academic excellence, she completed the prestigious Young Scientist Fellowship (YSFS) at IIT Palakkad for the academic year 2023-2024, where she advanced her research endeavors. She is also an active member of professional bodies such as ISTE, ISHRAE and BEIESP, where she continues to inspire innovation and foster excellence in engineering education and research.
Dr. J. Shanthi obtained her PhD Degree from Anna University, Chennai, India. 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 Modelling.
Dr. Subrata Chowdhury is currently working as an Associate Professor in the Department of Computer Science and Engineering at Sri Venkateswara College of Engineering and 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 Ph.D. in Computer Science from VISTAS, Chennai, in 2021. Dr. Chowdhury has authored and edited over 15 books on various topics and emerging technologies. He is a member of the United Nations Laboratory for Sustainability, and is a professional member of various academic and technical societies, including IEEE, IET, ISTE, IAENG, and ACM.
Dr. 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. 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.

Product details

• Authors: Rajalakshmi Jeyabal Murugesan
• Assisted by: Subrata Chowdhury (Editor), Shanthi Jeyabal (Editor), Rajalakshmi Murugesan (Editor), Bhisham Sharma (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 29.12.2025
• EAN: 9781032910949
• ISBN: 978-1-0-3291094-9
• No. of pages: 368
• Subjects: Natural sciences, medicine, IT, technology > Medicine > Pharmacy; Robotics, Artificial Intelligence, TECHNOLOGY & ENGINEERING / Robotics, TECHNOLOGY & ENGINEERING / Biomedical, algorithms and data structures, Artificial Intelligence (AI), Algorithms & data structures, Biomedical engineering, Biomedical engineering / Medical engineering