Wearable Sensing and Intelligent Data Analysis for Respiratory Management 1st edition by Rui Pedro Paiva, Paulo de Carvalho, Vassilis Kilintzis – Ebook PDF Instant Download/DeliveryISBN: 0128231254 9780128231258
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Product details:
ISBN-10 : 0128231254
ISBN-13 : 9780128231258
Author : Rui Pedro Paiva, Paulo de Carvalho, Vassilis Kilintzis
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 Sensing and Intelligent Data Analysis for Respiratory Management 1st Table of contents:
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
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Wearable Sensing,Intelligent Data Analysis,Respiratory Management,Rui Pedro Paiva,Paulo de Carvalho,Vassilis Kilintzis