Wearable Sensing and Intelligent Data Analysis for Respiratory Management

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.

Sommario

Part I: Introduction
1. 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

Info autore

Rui Pedro Paiva. Professor at the University of Coimbra, Portugal.Paulo de Carvalho. Professor at the University of Coimbra, Portugal.Vassilis Kilintzis. Senior Researcher at the University of Thessaloniki, Greece

Dettagli sul prodotto

• Con la collaborazione di: Paulo de Carvalho (Editore), Paulo de (Professor Carvalho (Editore), Vassilis Kilintzis (Editore), Vassilis (Senior Researcher Kilintzis (Editore), Rui Pedro Paiva (Editore), Rui Pedro (Professor Paiva (Editore), Paulo de Carvalho (Editore), Rui Pedro Paiva (Editore)
• Editore: Elsevier Science & Technology
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.12.2022
• EAN: 9780128234471
• ISBN: 978-0-12-823447-1
• Dimensioni: 152 mm x 18 mm x 229 mm
• Peso: 610 g
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP; SCIENCE / Life Sciences / Biology, Biology, life sciences, Information visualization, information architecture, Computing & Information Technology, Database design and theory, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Visualization