Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area. The book covers key topics such as the current state-of-the-art in biomedical robotics and devices, the role of emerging technologies like artificial intelligence and machine learning, rehabilitation robotics, and the optimization techniques for optimal design and control. The book concludes by exploring the potential future developments and trends in the field of biomedical robotics and devices and their healthcare implications.
1. Biomedical Robots and Devices in Healthcare - p. i 2. Cover image - p. i 3. Title page - p. i 4. Table of Contents - p. i 5. Copyright - p. iv 6. Contributors - p. ix 7. Chapter 1 Soft robotics and computational intelligence_ Transformative technologies reshaping biomedical engineering - p. 1 8. Chapter 2 Advancements in biomedical devices: A comprehensive review - p. 15 9. Chapter 3 Mathematics in biomedical robotics and devices and its role in healthcare delivery - p. 41 10. Chapter 4 Advancing ankle–foot orthosis design through biomechanics, robotics, and additive manufacturing: A review - p. 65 11. Chapter 5 Application of multibistatic frequency-domain measurements for enhanced medical sensing and imaging - p. 85 12. Chapter 6 Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectives - p. 109 13. Chapter 7 Comparative evaluation of deep learning techniques for multistage Alzheimer's prediction from magnetic resonance images - p. 135 14. Chapter 8 Machine learning brain activation topography for individual skill classification: Need for leave-one-subject-out (LOSO) cross-validation - p. 153 15. Chapter 9 Transfer learning-based disease prognosis in Biomedicine 4.0: Challenges and opportunities - p. 165 16. Chapter 10 Voice and chatbot: A hybrid framework using XAI for improving mental health - p. 179 17. Chapter 11 Wearable sensors: The pathway to applications of on-body electronics - p. 207 18. Index - p. 227
Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area. The book covers key topics such as the current state-of-the-art in biomedical robotics and devices, the role of emerging technologies like artificial intelligence and machine learning, rehabilitation robotics, and the optimization techniques for optimal design and control. The book concludes by exploring the potential future developments and trends in the field of biomedical robotics and devices and their healthcare implications.
1. Biomedical Robots and Devices in Healthcare - p. i 2. Cover image - p. i 3. Title page - p. i 4. Table of Contents - p. i 5. Copyright - p. iv 6. Contributors - p. ix 7. Chapter 1 Soft robotics and computational intelligence_ Transformative technologies reshaping biomedical engineering - p. 1 8. Chapter 2 Advancements in biomedical devices: A comprehensive review - p. 15 9. Chapter 3 Mathematics in biomedical robotics and devices and its role in healthcare delivery - p. 41 10. Chapter 4 Advancing ankle–foot orthosis design through biomechanics, robotics, and additive manufacturing: A review - p. 65 11. Chapter 5 Application of multibistatic frequency-domain measurements for enhanced medical sensing and imaging - p. 85 12. Chapter 6 Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectives - p. 109 13. Chapter 7 Comparative evaluation of deep learning techniques for multistage Alzheimer's prediction from magnetic resonance images - p. 135 14. Chapter 8 Machine learning brain activation topography for individual skill classification: Need for leave-one-subject-out (LOSO) cross-validation - p. 153 15. Chapter 9 Transfer learning-based disease prognosis in Biomedicine 4.0: Challenges and opportunities - p. 165 16. Chapter 10 Voice and chatbot: A hybrid framework using XAI for improving mental health - p. 179 17. Chapter 11 Wearable sensors: The pathway to applications of on-body electronics - p. 207 18. Index - p. 227
