Smart Wearable IoT: Principles and Implementation of Development Modules with Wireless Biomedical SoC focuses on the development of intelligent wearable technology integrated with the Internet and various platforms. The book provides detailed guidance on building a user-friendly development platform that features intelligent wearable systems, including bio-signal SoCs/modules, user-friendly websites/apps, and artificial intelligence (AI) systems on edge/cloud. By exploring specific case studies, such as the ECG-based fatigue analysis system, readers will gain fundamental knowledge in biosignal acquisition and processing.
This hands-on approach enables users to understand the integration of digital signal processing and artificial intelligence in analyzing physiological data, ultimately enhancing their skills in developing innovative wearable solutions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. vii 7. Preface - p. ix 8. Acknowledgments - p. xi 9. Chapter 1. Wearable devices and body area network - p. 1 10. Chapter 2. Personal health guardian - Product series - p. 19 11. Chapter 3. Lab Lesson (1) are you tired? Principles and implementation: Electrocardiogram (ECG)-based fatigue analysis system - p. 67 12. Chapter 4. Lab lesson (2) did you apply force? Principles and implementation: Electromyography (EMG) signal measurement - p. 103 13. Chapter 5. Lab lesson (3) where are you looking? Principles and implementation: Electrooculogram (EOG) signal measurement - p. 119 14. Chapter 6. Lab lesson (4) are you stressed out? Principles and implementation: Photoplethysmography (PPG) - p. 127 15. Chapter 7. Lab Lesson (5) do you have heart disease? Implementation of AI heart disease detection using ECG signal - p. 139 16. Appendix TriAnswer operation - p. 159 17. Index - p. 169
Smart Wearable IoT: Principles and Implementation of Development Modules with Wireless Biomedical SoC focuses on the development of intelligent wearable technology integrated with the Internet and various platforms. The book provides detailed guidance on building a user-friendly development platform that features intelligent wearable systems, including bio-signal SoCs/modules, user-friendly websites/apps, and artificial intelligence (AI) systems on edge/cloud. By exploring specific case studies, such as the ECG-based fatigue analysis system, readers will gain fundamental knowledge in biosignal acquisition and processing.
This hands-on approach enables users to understand the integration of digital signal processing and artificial intelligence in analyzing physiological data, ultimately enhancing their skills in developing innovative wearable solutions.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. vii 7. Preface - p. ix 8. Acknowledgments - p. xi 9. Chapter 1. Wearable devices and body area network - p. 1 10. Chapter 2. Personal health guardian - Product series - p. 19 11. Chapter 3. Lab Lesson (1) are you tired? Principles and implementation: Electrocardiogram (ECG)-based fatigue analysis system - p. 67 12. Chapter 4. Lab lesson (2) did you apply force? Principles and implementation: Electromyography (EMG) signal measurement - p. 103 13. Chapter 5. Lab lesson (3) where are you looking? Principles and implementation: Electrooculogram (EOG) signal measurement - p. 119 14. Chapter 6. Lab lesson (4) are you stressed out? Principles and implementation: Photoplethysmography (PPG) - p. 127 15. Chapter 7. Lab Lesson (5) do you have heart disease? Implementation of AI heart disease detection using ECG signal - p. 139 16. Appendix TriAnswer operation - p. 159 17. Index - p. 169
