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Unsupervised analysis of movements in daily life
Motor functioning of patients is typically assessed in a controlled clinical environment, even though such functional assessment is not representative of individual free-living behavior. Knowledge of patient’s functioning at home could provide more ecologically valid information and improve treatment, quality of care and ultimately quality of life. For this reason, and with the advent of technological developments, movement monitoring of patients at home has become a topic of increasing research interest. This topic comes with specific problems, however. Movements in this less organized environment are self-initiated, usually task oriented, less predictable and have a higher variation. Also, as measurements become more extensive, automated analysis of movement data becomes increasingly important. In this session, we therefore discuss recent developments in unsupervised analysis of movements in daily life.

Nov 10, 2021 02:00 PM in Amsterdam

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