
Wearable Sensing and Intelligent Data Analysis for Respiratory Management
Academic Press
Published on 24. May 2022
Book
Paperback/Softback
382 pages
978-0-12-823447-1 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
610 gr
ISBN-13
978-0-12-823447-1 (9780128234471)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Rui Pedro Paiva | Paulo de Carvalho | Vassilis Kilintzis
Wearable Sensing and Intelligent Data Analysis for Respiratory Management
E-Book
05/2022
Academic Press
€131.00
Available for download
Persons
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
Editor
Professor, University of Coimbra, Portugal
Professor, University of Coimbra, Portugal
Senior Researcher, University of Thessaloniki, GreeceSenior Researcher, University of Thessaloniki, Greece
Content
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
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