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Elsevier

Wearable Sensing and Intelligent Data Analysis for Respiratory Management

  • 1st Edition - May 21, 2022
  • Latest edition
  • Editors: Rui Pedro Paiva, Paulo de Carvalho, Vassilis Kilintzis
  • Language: English

Wearable Sensing and Intelligent Data Analysis for Respiratory Management highlights the use of wearable sensing and intelligent data analysis algorithms for respiratory function… Read more

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.

Key features

  • 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

Readership

Graduate research students working on different aspects of engineering issues for respiration function management, namely in the areas of biomedical engineering, informatics engineering, electrical engineering and data science and engineering. It will also work as an integrated and comprehensive entry point for any researcher who needs a holistic overview of the field. Health care professionals will also benefit from the topics covered in the book, which aim at the active promotion of so-called P4 medicine (Predictive, Preventive, Personalized and Participatory)

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

Product details

  • Edition: 1
  • Latest edition
  • Published: May 24, 2022
  • Language: English

About the editors

RP

Rui Pedro Paiva

Rui Pedro Paiva. Professor at the University of Coimbra, Portugal.
Affiliations and expertise
Professor, University of Coimbra, Portugal

PC

Paulo de Carvalho

Paulo de Carvalho. Professor at the University of Coimbra, Portugal.
Affiliations and expertise
Professor, University of Coimbra, Portugal

VK

Vassilis Kilintzis

Vassilis Kilintzis. Senior Researcher at the University of Thessaloniki, Greece
Affiliations and expertise
Senior Researcher, University of Thessaloniki, GreeceSenior Researcher, University of Thessaloniki, Greece

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