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Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices
- 1st Edition - August 1, 2025
- Editors: S. Sountharrajan, M. Karthiga, Balamurugan Balasamy, Ali Kashif Bashir
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 1 4 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 1 5 - 0
"Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices" offers readers a comprehensive and practical exploration of the integration of mathematical modeling… Read more
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Request a sales quote"Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices" offers readers a comprehensive and practical exploration of the integration of mathematical modeling in biomedical engineering. It presents the application of mathematical concepts, particularly in the design and optimization of biomedical robots and wearable healthcare devices. Through practical examples and case studies, the book illustrates the real-world application of mathematical models. Emphasizing healthcare engineering principles and latest trends like biomedical sensors, robots and wearable devices in healthcare, readers will understand how engineering contributes to improving medical practices, patient outcomes, and overall healthcare delivery. The book presents theoretical concepts and practical applications, providing insights into the challenges and solutions encountered in applying mathematical principles to biomedical engineering problems. It highlights the interdisciplinary collaboration required in the field, recognizing the collaborative nature of biomedical engineering that involves professionals from diverse fields.
• Examines the role of applied mathematical modeling in the design, analysis, and optimization of biomedical robots and wearable devices
• Provides an insightful exploration of cutting-edge developments in robotics and wearable devices
• Bridges the gap between the areas of mathematics, engineering, and healthcare
• Provides an insightful exploration of cutting-edge developments in robotics and wearable devices
• Bridges the gap between the areas of mathematics, engineering, and healthcare
Researchers and academicians, advanced undergraduate and graduate students pursuing degrees in biomedical engineering, mathematics, or related disciplines
1. Introduction to Biomedical Robotics and Wearable Devices in Healthcare 1.1. Fundamentals of Biomedical Robotics: 1.2. Wearable Devices for Healthcare: 1.3. Human-Robot Interaction (HRI) in Healthcare: 1.4. Future Directions in Biomedical Robotics and Wearable Devices: 2. Mathematical Modeling in Healthcare Engineering 2.1. Unveiling the Body's Secrets: Modeling Physiological Systems 2.2. Diagnosing and Predicting: Mathematical Tools for Disease Management 2.3. Designing the Future: From Models to Medical Devices and Therapies 2.4. Ethical and Societal Implications: Responsible Use of Mathematical Modeling in Healthcare 3. Linear Algebra and Calculus for Robot Motion 3.1. Vectors, Matrices, and Coordinate Frames 3.2. Kinematics and the Language of Motion 3.3. Calculus and the Art of Planning Smooth Moves 4. Signal Processing and Machine Learning for Biosignals 4.1. Filtering and Feature Extraction in Biosignal Processing 4.2. Supervised and Unsupervised Machine Learning for Biosignal Analysis 4.3. Applying Signal Processing and Machine Learning in Real-World Scenarios 5. Optimization Algorithms for Design and Control 5.1. Gradient Descent: The Workhorse of Optimization 5.2. Beyond the Gradient: Evolutionary Algorithms and Swarm Intelligence 5.3. The Rise of Artificial Intelligence: Neural Networks and Deep Learning for Optimization 6. Kinematics and Dynamics of Surgical Robots 6.1. Robotic Arms extending the Surgeon's Reach and Precision 6.2. Surgical Robots with Vision: Navigating the Anatomy with Integrated Optics 6.3. Beyond Arms and Cameras: Emerging Trends in Surgical Robotics 7. Sensor Fusion and Data Processing for Robot Control 7.1. Autonomous Navigation 7.2. Object Manipulation: Interacting with the Physical World 7.3. Advanced Perception and Control: Pushing the Boundaries of Robot Capabilities 8. Motion Planning and Trajectory Optimization for Robots 8.1. Mobile Robots 8.2. Planning Precise and Safe Gripping and Object Interaction 8.3. Advanced Motion Planning Challenges from Humanoid Robots to Collaborative Systems 9. Safety and Stability Analysis of Robot Systems 9.1. Mobile Robots: Navigating Dynamic Environments Safely 9.2. Safe Interaction of robots with Objects and Humans 9.3. Advanced Challenges for Humanoid Robots, Autonomous Vehicles, and Collaborative Systems 9.4. A Symbiosis of Engineering, Human Factors, and AI in Robot Safety 10. Rehabilitation Robotics and Assistive Devices 10.1. Neurorehabilitation and Stroke Recovery in Utilizing Robotic Technologies for Targeted Therapy 10.2. Spinal Cord Injury and Mobility Restoration from Bionic Suits to Brain-Computer Interfaces 10.3. Aging and Chronic Conditions in Assistive Devices for Everyday Living and Independent Living 11. Biosignal Acquisition and Processing for Wearable Sensors 11.1. ECG Acquisition and Processing for Cardiovascular Health 11.2. EEG Acquisition and Processing for Neurophysiological Applications 11.3. EMG Acquisition and Processing for Motor Control and Rehabilitation 11.4. Beyond the Big Three: Exploring Other Biosignals with Wearable Sensors 12. Feature Extraction and Anomaly Detection in Physiological Data 12.1. Heartbeat Secrets: Unveiling Anomalies in ECG Data 12.2. Anomaly Detection in Brainwave EEG Data 12.3. Muscle Movement Mysteries: Feature Extraction and Anomaly Detection in EMG Data 12.4. Beyond the Usual Suspects: Anomaly Detection in Emerging Physiological Data 13. Machine Learning for Disease Prediction and Personalized Healthcare 13.1. Predicting Heart Risks and Optimizing Interventions for cardiovascular health 13.2. Oncology: Unlocking Cancer Diagnosis and Precision Medicine 13.3. Managing Chronic Diseases Conditions and Improving Quality of Life 14. Design Considerations and Clinical Applications of Wearable Devices 14.1. Bridging the Gap Between Wearable Tech and the Human Body 14.2. From Wearable Data to Clinically-Relevant Insights 14.3. Transforming Healthcare with Wearable Technologies 15. Clinical Applications of Wearable Devices 16. Computational Tools and Techniques for Healthcare Engineering 16.1. Modeling and Simulation in Healthcare Engineering 16.2. Data Analytics and Machine Learning for Healthcare 16.3. Artificial Intelligence and Robotics in Healthcare 16.4. Optimization and Decision Support Systems in Healthcare 17. Ethical Considerations of Biomedical Robots and Wearable Devices 17.1. Autonomy and Control 17.2. Privacy and Data Security: Whose data is it, and how is it used? 17.3. Access and Equity 17.4. Psychological and Social Impact: How will these technologies change us?
- No. of pages: 350
- Language: English
- Edition: 1
- Published: August 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443335143
- eBook ISBN: 9780443335150
SS
S. Sountharrajan
S. Sountharrajan completed his PhD from Anna University in Information and Communication Engineering in the year 2017 and is currently working as Associate Professor in the School of Computing (SOC) at Amrita Vishwa Vidyapeetham, Chennai Campus. He is Program Head, B. Tech Computer Science and Engineering. He was sanctioned an amount of Rs. 38,00,000 from the funding agencies like DST, AICTE and ICMR. He has also published papers in 10 International / 6 National Conferences. He was published 35 International journals including 50 Scopus index and 12 SCI. He has been certified from reputed companies of India like the IBM, DELL EMC Corporation. He has delivered 33 Guest Lectures in reputed universities and Institutions in India. He has worked on Big Data, cloud computing show the importance of cloud deployed applications.
Affiliations and expertise
Amrita Vishwa Vidyapeetham, Chennai, IndiaMK
M. Karthiga
Dr. M. Karthiga is currently working as an Associate Professor in the Department of Computer science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam. She holds more than 11 years of professional experience. She is presently working in Machine Learning and Deep Learning Projects. She is involved in Data Science Lab. She published 28 articles in leading National and International journals. She is a reviewer in reputed journals like Knowledge based Systems, Signals, Image and Video Processing, Future Generation Computer Systems, MDPI journals and etc., She published more than 11 book chapters in leading books of Elsevier and Springer. She is an active researcher in the field of Machine learning and Data Analytics. Also, her research interest includes Data mining, Image Mining, Internet of Things, Artificial Intelligence and Deep Learning. She has received 5 patent grants and filed more than 13 National level Patents under Machine Learning and Internet of Things.She is a Lifetime member of ISTE professional society.
Affiliations and expertise
Department of Computer Science and Engineering, Bannari Amman Institute of TechnologyBB
Balamurugan Balasamy
Balamurugan Balusamy is Associate Dean Student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several start-ups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposium.
Affiliations and expertise
Shiv Nadar University, Delhi-NCR CampusAB
Ali Kashif Bashir
AliKashif Bashir holds the position of Professor of Computer Networks and Cybersecurity at the Manchester Metropolitan University in the United Kingdom. Additionally, he serves as the leader of the Future Networks lab. Throughout his career, Ali has presented more than 45 keynote speeches at international conferences, produced over 300 research articles, and successfully overseen multimillion-dollar projects worldwide. His students have won best paper awards, best PhD thesis awards, and several other recognitions. His research interests include internet of things/cyber physical systems, smart infrastructures, cybersecurity, and AI algorithms to solve interdisciplinary problems of networks and security. Ali is member of Council of Professors and Heads of Computing (CPHC), UK; an expert reviewer of EPSRC, UK, Irish Research Council, Ireland, National Sciences and Engineering Research Council (NSERC), Canada, MITACS, Accelerate, Canada, Qatar National Research Fund (QNRF), and Commonwealth, UK. He enjoys 7 honorary and adjunct professor positions across the globe. He was listed as IEEE Featured Author in 2021, highly cited 2% researchers by Stanford University 2021 and 2022, shortlisted for Clarivate Highly Cited award 2023. He is AE of over 10 international ISI indexed journals including two IEEE Transactions, and Scientific Reports, Nature, and EIC of IEEE Technology, Policy and Ethics, and Journal of Autonomous Intelligence.
Affiliations and expertise
Professor of Computer Networks and Cybersecurity at the Manchester Metropolitan University in the United Kingdom