Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.
1. Edge-of-Things in Personalized Healthcare Support Systems - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xiii 7. Chapter 1 Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems - p. 1 8. Chapter 2 The architecture of smartness in healthcare - p. 25 9. Chapter 3 Personalized decision support for cardiology based on deep learning: an overview - p. 45 10. Chapter 4 Data-driven models for cuffless blood pressure estimation using ECG and PPG signals - p. 77 11. Chapter 5 A recommendation system for the prediction of drug–target associations - p. 115 12. Chapter 6 Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images - p. 137 13. Chapter 7 FunNet: a deep learning network for the detection of age-related macular degeneration - p. 157 14. Chapter 8 An improved method for automated detection of microaneurysm in retinal fundus images - p. 173 15. Chapter 9 Integration and study of map matching algorithms in healthcare services for cognitive impaired person - p. 187 16. Chapter 10 Emotion-recognition-based music therapy system using electroencephalography signals - p. 217 17. Chapter 11 Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach - p. 237 18. Chapter 12 Mental stress detection using a wearable device and heart rate variability monitoring - p. 261 19. Chapter 13 Knowledge discovery and presentation using social media analysis in health domain - p. 291 20. Chapter 14 Computationally efficient integrity verification for shared data in cloud storage - p. 315 21. Chapter 15 Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques - p. 335 22. Chapter 16 Measurement of the effects of parks on air pollution in megacities: do parks support health betterment? - p. 359 23. Chapter 17 Internet of Things use case applications for COVID-19 - p. 377 24. Index - p. 413
Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.
1. Edge-of-Things in Personalized Healthcare Support Systems - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xiii 7. Chapter 1 Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems - p. 1 8. Chapter 2 The architecture of smartness in healthcare - p. 25 9. Chapter 3 Personalized decision support for cardiology based on deep learning: an overview - p. 45 10. Chapter 4 Data-driven models for cuffless blood pressure estimation using ECG and PPG signals - p. 77 11. Chapter 5 A recommendation system for the prediction of drug–target associations - p. 115 12. Chapter 6 Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images - p. 137 13. Chapter 7 FunNet: a deep learning network for the detection of age-related macular degeneration - p. 157 14. Chapter 8 An improved method for automated detection of microaneurysm in retinal fundus images - p. 173 15. Chapter 9 Integration and study of map matching algorithms in healthcare services for cognitive impaired person - p. 187 16. Chapter 10 Emotion-recognition-based music therapy system using electroencephalography signals - p. 217 17. Chapter 11 Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach - p. 237 18. Chapter 12 Mental stress detection using a wearable device and heart rate variability monitoring - p. 261 19. Chapter 13 Knowledge discovery and presentation using social media analysis in health domain - p. 291 20. Chapter 14 Computationally efficient integrity verification for shared data in cloud storage - p. 315 21. Chapter 15 Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques - p. 335 22. Chapter 16 Measurement of the effects of parks on air pollution in megacities: do parks support health betterment? - p. 359 23. Chapter 17 Internet of Things use case applications for COVID-19 - p. 377 24. Index - p. 413
