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Outputs (3)

A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance (2022)
Journal Article

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,... Read More about A machine learning model for predicting sit-to-stand trajectories of people with and without stroke: towards adaptive robotic assistance.

Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study (2021)
Journal Article

Introduction To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper-limb (UL) movemen... Read More about Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study.