Wearable Sensing and Intelligent Data Analysis for Respiratory Management - Softcover

Über die Autorinnen und Autoren

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

Von der hinteren Coverseite

The use of wearable sensing and intelligent data analysis algorithms for respiratory function management assumes particular relevance, offering several potential and substantial clinical benefits. It allows for the early detection of respiratory exacerbations in patients with chronic respiratory diseases, allowing earlier and, therefore, more effective treatment.

As such, presently, the problem of continuous, non-invasive, remote and real-time monitoring of such patients is deserving increasing attention from the scientific community. 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. Such systems have the potential for substantial clinical benefits, promoting the so-called P4 medicine (personalised, participative, predictive and preventive).

Wearable Sensing and Intelligent Data Analysis for Respiration Management addresses the following topics:

• Wearable, portable, non-invasive and p-health systems, biomedical sensor technology and textiles
• Data management: acquisition, transmission, storage, representation, visualization, security, privacy, etc.
• Data science in respiratory function management
• Automated respiratory sound analysis: cough, crackles, wheezes and all sort of clinically-relevant respiratory sounds
• Pulmonary image reconstruction and analysis: electrical impedance tomography, computed tomography, magnetic resonance imaging, etc.
• Information fusion approaches: multi-channel and multi-sensor approaches towards respiratory function management
• Risk management and decision-support systems
• ICT-based clinical studies tackling respiratory diseases and co-morbidities