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.
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Table of Contents
Part I: Introduction1. Respiration Function Management: Medical Needs and Gaps
2. Respiration: Physiology, Pathology and Treatment
Part II: Wearable Sensing
3. Biomedical Respiration Sensor Technology: Sound and Image
4. Textiles and Smart Materials for Wearable Sensing
Part III: Data Analysis and Management
5. Data Science: Overview of Techniques for Respiratory Function Assessment
6. Respiratory Sound Analysis
7. Respiratory Image Analysis
8. Respiratory Data Management
Part IV: Management Systems
9. P-Health Systems for Respiration Function Management: Overview and Future Trends
10. Strategies for Long-Term Adherence
11. Respiratory Decision-Support Systems
12. Integrated Care in Respiration Function Management
13. Integrated Care in Respiratory Function Management
