Overview

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.

Full Product Details

Author:   Rui Pedro Paiva (Professor, University of Coimbra, Portugal) ,  Paulo de Carvalho (Professor, University of Coimbra, Portugal) ,  Vassilis Kilintzis (Senior Researcher, University of Thessaloniki, GreeceSenior Researcher, University of Thessaloniki, Greece)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.610kg
ISBN:  

9780128234471

ISBN 10:   0128234474
Pages:   382
Publication Date:   24 May 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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

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Author Information

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

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