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Project

Unveiling the evolution of the physiological network during sleep

The current healthcare system relies on curation rather than on prevention, and on treating specific problems rather than on identifying their overall influence on the general health of patients. A more holistic approach is indispensable, but before this can happen, new fundamental research needs to be performed. Therefore, it is crucial to understand the way in which the different physiological systems interact, and how they synchronize their functions. To this end, this research program will focus on the development of a clinically validated machine learning and signal processing framework based on physiological networks and their interactions, to understand and quantify their evolution during sleep. This will lead to fundamental advances in machine learning and signal processing applied to biomedical signals, and as a consequence to improved diagnosis of sleep disorders, and treatment definitions.
Date:7 Oct 2020 →  30 Nov 2021
Keywords:Human-in-the-loop, Decision Support Systems, Network Physiology
Disciplines:Human health engineering, Biomedical signal processing, Machine learning and decision making