Wearable Sensing and Intelligent Data Analysis for Respiratory Management highlights the use of wearable sensing and intelligent data analysis algorithms for respiratory function management, offering several potential and substantial clinical benefits. The book allows for the early detection of respiratory exacerbations in patients with chronic respiratory diseases, allowing earlier and, therefore, more effective treatment. As such, the problem of continuous, non-invasive, remote and real-time monitoring of such patients needs increasing attention from the scientific community as these systems have the potential for substantial clinical benefits, promoting P4 medicine (personalized, participative, predictive and preventive).
Wearable and portable systems with sensing technology and automated analysis of respiratory sounds and pulmonary images are some of the problems that are the subject of current research efforts, hence this book is an ideal resource on the topics discussed.
1. Wearable Sensing and Intelligent Data Analysis for Respiratory Management - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xiii 7. Preface - p. xvii 8. Acknowledgments - p. xix 9. Chapter 1 Respiration - p. 3 10. Chapter 2 Respiratory management in daily life - p. 31 11. Chapter 3 Sensor technologies for mobile and wearable applications in mobile respiratory management - p. 59 12. Chapter 4 Textiles and smart materials for wearable monitoring systems - p. 95 13. Chapter 5 Automated respiratory sound analysis - p. 123 14. Chapter 6 Respiratory image analysis - p. 169 15. Chapter 7 Respiratory data management - p. 213 16. Chapter 8 The edge-cloud continuum in wearable sensing for respiratory analysis - p. 241 17. Chapter 9 Strategies for long-term adherence - p. 273 18. Chapter 10 Respiratory decision support systems - p. 299 19. Chapter 11 Integrated care in respiratory function management - p. 323 20. Index - p. 355
Wearable Sensing and Intelligent Data Analysis for Respiratory Management highlights the use of wearable sensing and intelligent data analysis algorithms for respiratory function management, offering several potential and substantial clinical benefits. The book allows for the early detection of respiratory exacerbations in patients with chronic respiratory diseases, allowing earlier and, therefore, more effective treatment. As such, the problem of continuous, non-invasive, remote and real-time monitoring of such patients needs increasing attention from the scientific community as these systems have the potential for substantial clinical benefits, promoting P4 medicine (personalized, participative, predictive and preventive).
Wearable and portable systems with sensing technology and automated analysis of respiratory sounds and pulmonary images are some of the problems that are the subject of current research efforts, hence this book is an ideal resource on the topics discussed.
1. Wearable Sensing and Intelligent Data Analysis for Respiratory Management - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xiii 7. Preface - p. xvii 8. Acknowledgments - p. xix 9. Chapter 1 Respiration - p. 3 10. Chapter 2 Respiratory management in daily life - p. 31 11. Chapter 3 Sensor technologies for mobile and wearable applications in mobile respiratory management - p. 59 12. Chapter 4 Textiles and smart materials for wearable monitoring systems - p. 95 13. Chapter 5 Automated respiratory sound analysis - p. 123 14. Chapter 6 Respiratory image analysis - p. 169 15. Chapter 7 Respiratory data management - p. 213 16. Chapter 8 The edge-cloud continuum in wearable sensing for respiratory analysis - p. 241 17. Chapter 9 Strategies for long-term adherence - p. 273 18. Chapter 10 Respiratory decision support systems - p. 299 19. Chapter 11 Integrated care in respiratory function management - p. 323 20. Index - p. 355
