Insights from wearable respiratory sensors and AI

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Chairs: R. Costello (Dublin 9, Ireland), H. Pinnock (Edinburgh (Edinburgh), United Kingdom)
Aims: To present opportunities opened by wearable monitoring of ambulant and (semi-)continuous monitoring, leading to large data streams; to understand these rapidly expanded fields over recent years; to highlight the opportunities and show promising results, e.g. in the fields of sleep apnea and rehabilitation; to emphasize challenges with respect to reliability and interpretability of the results in clinical practice; to describe the current developments around wearable devices and AI and to discuss the opportunities and open challenges; to facilitate exchange and dialogue around these developments in the domain of digital health. To understand how the COVID-19 epidemic is developing, who is at most risk, what is the effect of social distancing, and when and where providers can expect people to require healthcare services.
AI for respiratory signals
T. Van Steenkiste (Ghent, Belgium)
WebcastSlide presentation
WebcastSlide presentation
Health patches for wearable respiration monitoring
B. Grundlehner (Eindhoven, Netherlands)
WebcastSlide presentation
WebcastSlide presentation
Respiration monitoring in COPD patients
D. Blanco-Almazán (Barcelona, Spain)
WebcastSlide presentation
WebcastSlide presentation
Surveillance of COVID-19 with a radar app
N. Chavannes (Leiden, Netherlands)
WebcastSlide presentation
WebcastSlide presentation