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Project

Digital mobility outcomes for measuring freezing of gait in Parkinson’s disease

we aim to develop a software system for automatic Freezing of gait (FOG) detection, with a fourfold modular structure, merging the unique expertise from a clinical and an engineering research team at KUL. Validation of an automated software solution to assess FOG-severity against ground truth, which will form the basis for building FOG-online and FOG-conversion algorithms along the way. We will also simultaneously determine Freezing platform validation in the laboratory and the home during different sessions than the Mobilise-D protocol applying a standardized set of highly FOG-triggering gait tests, including fast on the spot 360° turns, using 2 RGB-D camera’s, a full-body plug-in Vicon recording, and 6 IMUs incorporating physiological stress-related signal recording. Free-living data collection during waking hours (at least 6 hours a day) for 5 days will be collected (not including the McRoberts system) covering the most used living space in the home and collect freezing questionnaire data.

Date:11 Mar 2021 →  7 Mar 2022
Keywords:Parkinsons Disease, Freezing of Gait, Neuro rehabilitation
Disciplines:Rehabilitation
Project type:PhD project