Wearable Sensing and Intelligent Data Analysis for Respiratory Management

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

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