Smart Biosensors in Medical Care discusses the characteristics of biosensors and their potential applications in healthcare. This book is aimed at professionals, scientists and engineers who are interested in integrating biosensors into medical care systems for patients. It also provides fundamental and foundational knowledge for undergraduate and post graduate students. The book presents a comprehensive view of up-to-date requirements in hardware and communication, offers future perspectives on next-generation medical care systems, and includes global case studies of recent system operations in healthcare. Sections cover smart biosensors, such as wearable, implantable, patch based, and enzyme based for medical care.
Advances in ubiquitous sensing applications for healthcare is a series which covers new systems based on ubiquitous sensing for healthcare (USH). Volumes in this series cover a wide range of interdisciplinary areas, including wireless sensors networks, wireless body area networks, Big data, Internet-of-Things (IoT), security, monitoring, real time data collection, data management, systems design/analysis, and much more.
1. Cover - p. i 2. Title page - p. iii 3. Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iv 6. About the editors - p. xiii 7. Preface - p. xvii 8. Chapter 1: Prototype algorithm for three-class motor imagery data classification: a step toward development of human–computer interaction-based neuro-aid - p. xxi 9. Chapter 2: Biosensor and its implementation in diagnosis of infectious diseases - p. 28 10. Chapter 3: Biosensors: a better biomarker for diseases diagnosis - p. 47 11. Chapter 4: Smart biosensors for an efficient point of care (PoC) health management - p. 64 12. Chapter 5: Energy harvesting via human body activities - p. 85 13. Chapter 6: BER performance comparison of EEG healthcare system using 8-pixel, 16-pixel OLED screen, and DSLR camera - p. 106 14. Chapter 7: FBCC protocol for HBAN network for smart e-health application - p. 123 15. Chapter 8: Biofabrication of graphene QDs as a fluorescent nanosensor for detection of toxic and heavy metals in biological and environmental samples - p. 138 16. Chapter 9: Machine learning analysis of topic modeling re-ranking of clinical records - p. 152 17. Chapter 10: Smart sensing of medical disorder detection for physically impaired person - p. 177 18. Chapter 11: Speech-based automation system for the patient in orthopedic trauma ward - p. 200 19. Index - p. 214
Smart Biosensors in Medical Care discusses the characteristics of biosensors and their potential applications in healthcare. This book is aimed at professionals, scientists and engineers who are interested in integrating biosensors into medical care systems for patients. It also provides fundamental and foundational knowledge for undergraduate and post graduate students. The book presents a comprehensive view of up-to-date requirements in hardware and communication, offers future perspectives on next-generation medical care systems, and includes global case studies of recent system operations in healthcare. Sections cover smart biosensors, such as wearable, implantable, patch based, and enzyme based for medical care.
Advances in ubiquitous sensing applications for healthcare is a series which covers new systems based on ubiquitous sensing for healthcare (USH). Volumes in this series cover a wide range of interdisciplinary areas, including wireless sensors networks, wireless body area networks, Big data, Internet-of-Things (IoT), security, monitoring, real time data collection, data management, systems design/analysis, and much more.
1. Cover - p. i 2. Title page - p. iii 3. Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iv 6. About the editors - p. xiii 7. Preface - p. xvii 8. Chapter 1: Prototype algorithm for three-class motor imagery data classification: a step toward development of human–computer interaction-based neuro-aid - p. xxi 9. Chapter 2: Biosensor and its implementation in diagnosis of infectious diseases - p. 28 10. Chapter 3: Biosensors: a better biomarker for diseases diagnosis - p. 47 11. Chapter 4: Smart biosensors for an efficient point of care (PoC) health management - p. 64 12. Chapter 5: Energy harvesting via human body activities - p. 85 13. Chapter 6: BER performance comparison of EEG healthcare system using 8-pixel, 16-pixel OLED screen, and DSLR camera - p. 106 14. Chapter 7: FBCC protocol for HBAN network for smart e-health application - p. 123 15. Chapter 8: Biofabrication of graphene QDs as a fluorescent nanosensor for detection of toxic and heavy metals in biological and environmental samples - p. 138 16. Chapter 9: Machine learning analysis of topic modeling re-ranking of clinical records - p. 152 17. Chapter 10: Smart sensing of medical disorder detection for physically impaired person - p. 177 18. Chapter 11: Speech-based automation system for the patient in orthopedic trauma ward - p. 200 19. Index - p. 214
