Abstract
A Public Data Set of Videos, Inertial Measurement Unit, and Clinical Scales of Freezing of Gait in Individuals With Parkinson's Disease During a Turning-In-Place Task.
Highlights
Freezing of gait (FoG) is a widespread Parkinson’s disease (PD) symptom
Since medication can influence the presence of the FoG and that most PD subjects are ON medication, we performed our measurement during this ON medication condition, meaning a stable dose of antiparkinsonian medication for at least 1 month, and they had taken dopaminergic medication 1 h before starting the sessions to ensure dose stabilization
Freezing event: from the identification of FoG carried out by the movement disorders specialists using the video; we identified when these events happened in the inertial measurement unit (IMU) data (0 for no-FoG and 1 for FoG)
Summary
Freezing of gait (FoG) is a widespread Parkinson’s disease (PD) symptom It is a disabling, complex, and highly variable clinical phenomenon characterized by brief episodes of inability to step or very short steps (Nutt et al, 2011). Several automatic freeze-detection algorithms based on some or all signals of one or multiple wearable sensors have been developed (Silva De Lima et al, 2017; Pardoel et al, 2019). These methods vary in complexity, from frequency domain analysis (Moore et al, 2008, 2013; Delval et al, 2010; Capecci et al, 2016), wavelet transforms (Punin et al, 2019) to multiple features and machine-learning techniques (Tripoliti et al, 2013; Ahlrichs et al, 2016)
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