Wearable Sensing and Intelligent Data Analysis for Respiratory Management

Rui Pedro Paiva,Paulo de Carvalho,Vassilis Kilintzis

• Publisher: Academic Press
• Year: 2022
• ISBN:
  9780128231258
• Topic: Computer Science
• Subtopic: Data Modelling & Design
• Index: Computer Science

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.

• Presents an up-to-date review and current trends and hot topics in the different sub-fields (e.g., wearable technologies, respiratory sound analysis, lung image analysis, etc.)
• Offers a comprehensive guide for any research starting to work in the field
• Presents the state-of-the-art of each sub-topic, where the main works in the literature is critically reviewed and discussed, along with the main practices and techniques in each area

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Preface
• Acknowledgments
• Part I. Respiratory management: overview
• Part II. Wearable sensing
• Part III. Data analysis and management
• Part IV. Current challenges in respiratory management systems
• Index