LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Wearable Sensing and Intelligent Data Analysis for Respiratory Management
- 1st Edition - May 21, 2022
- Editors: Rui Pedro Paiva, Paulo de Carvalho, Vassilis Kilintzis
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 4 4 7 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 1 2 5 - 8
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
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteWearable 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
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)
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgments
- Part I. Respiratory management: overview
- Chapter 1. Respiration: physiology, pathology, and treatment
- Introduction
- Part A: physiology of respiration
- Part B: pathology and treatment of lung diseases
- Part II. Wearable sensing
- Chapter 2. Respiratory management in daily life: needs and gaps
- Introduction
- Daily needs of those living with chronic respiratory diseases
- Comprehensive assessment for meaningful daily management
- Meaningful daily management
- Future avenues for daily assessment and management
- Chapter 3. Sensor technologies for mobile and wearable applications in mobile respiratory management
- Introduction
- Assessment of respiratory functions through monitoring of the lungs
- Assessment of respiratory functions through monitoring of the airways
- Assessment of respiratory functions through monitoring of the cardiovascular system
- Multimodal systems for parallel monitoring of several organs
- Conclusion
- Chapter 4. Textiles and smart materials for wearable monitoring systems
- Introduction
- Fabric sensing functionality, a combination of conductivity and elasticity
- Textile materials for sensing
- Respiratory monitoring, measurement methodologies compatible with wearable applications
- Fabric sensors and electrodes for respiratory monitoring
- Textile platforms for cardiopulmonary monitoring based on fabric sensor components
- Textile platform for cardiopulmonary monitoring based on hardware components
- Conclusions
- Part III. Data analysis and management
- Chapter 5. Automated respiratory sound analysis
- Introduction
- Description of respiratory sounds
- Respiratory sound acquisition
- Respiratory sound databases
- Current methods
- Evaluation
- Conclusion
- Chapter 6. Respiratory image analysis
- Introduction
- Primary image reconstruction
- Functional EIT images and measures
- Challenges of data acquisition and analysis using wearable EIT
- Current experience with wearable EIT for ventilation monitoring
- Use of wearable EIT beyond ventilation monitoring
- Integration of EIT findings with other biosignals
- Conclusions
- Chapter 7. Respiratory data management
- Introduction
- What can go wrong?
- Respiratory disease management data
- Modeling respiratory data
- A semantic data model for respiratory data management
- Persistent storage and data integrity
- Achieving compliance to regulations
- Conclusions
- Part IV. Current challenges in respiratory management systems
- Chapter 8. The edge-cloud continuum in wearable sensing for respiratory analysis
- Introduction
- The P4 health-care revolution
- Edge-cloud continuum
- Recent artificial intelligence trends for the edge-cloud continuum
- AI-based solutions for respiratory analysis
- Conclusions
- Chapter 9. Strategies for long-term adherence
- Introduction
- Materials and methods
- Results
- Discussion
- Use case 1: young person
- Use case 2: adult
- Use case 3: elderly person
- Conclusions
- Chapter 10. Respiratory decision support systems
- Introduction
- Overview of the RDSS domain
- Methods for respiratory DSS
- A detailed RDSS example
- Discussion: unmet needs and challenges for the future
- Chapter 11. Integrated care in respiratory function management
- An overview of integrated care
- Respiratory disease management: current state of care and care pathways
- Conclusion
- Index
- No. of pages: 382
- Language: English
- Edition: 1
- Published: May 21, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128234471
- eBook ISBN: 9780128231258
RP
Rui Pedro Paiva
Rui Pedro Paiva. Professor at the University of Coimbra, Portugal.
Affiliations and expertise
Professor, University of Coimbra, PortugalPC
Paulo de Carvalho
Paulo de Carvalho. Professor at the University of Coimbra, Portugal.
Affiliations and expertise
Professor, University of Coimbra, PortugalVK
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, GreeceRead Wearable Sensing and Intelligent Data Analysis for Respiratory Management on ScienceDirect