Phenotype and brain [18F] FDG patterns in patients with freezing of gait as the main clinical feature
Objective: To describe the clinical phenotype and brain [18F] FDG patterns in 52 patients exhibiting freezing of gait and/or gait instability as the main clinical…Gender-specific differences of gait in parkinsonian syndromes
Objective: The aim of this study was to further assess gender-specific gait and balance differences related to fall frequency in APD and IPD patients. Background:…Prediction of turning characteristics parameters into Parkinson’s disease
Objective: To investigate the parameters predicting turning dysfunction in individuals with Parkinson’s disease (PD). Background: Turning deficit in PD has significant implications particularly regarding increase…Digital gait and turning impairments (quality but not quantity) during daily life are more severe in retrospective fallers compared to non-fallers with Parkinson’s disease
Objective: To investigate which specific digital gait and turning measures, obtained with body-worn sensors, best differentiate fallers from non-fallers with PD during daily life. Background:…Relationship between the Montreal Cognitive Assessment and clinical gait assessments in individuals with Parkinson disease
Objective: Determine the relationship between the Montreal Cognitive Assessment (MoCA) and the commonly used clinical gait assessments including 10-meter walk test (10 MWT), 4-meter walk…Does fatigue in Parkinson’s disease impact one’s physical function in daily live?
Objective: To investigate fatigue at baseline and 3.5 years later and its association with balance and gait over time. Background: In Parkinson’s disease (PD), fatigue…Timed-up-and-go tests under dual-task conditions: Influence of different tasks on gait parameters in Parkinsonian patients
Objective: To analyse the effect of dual tasking on the Parkinson gait. Background: Parkinson's disease has a strong impact on gait and posture, leading to…Detection of freezing of gait in people with Parkinson’s disease using novel deep learning approaches.
Objective: To detect freezing of gait (FOG) in people with Parksinson’s disease using three novel deep learning approaches. Background: FOG is one of the most…iFall: Usability of a co-produced falls reporting smartphone application in people with Parkinson’s
Objective: To assess the usability of a co-produced smartphone application for falls reporting in people with Parkinson’s (PwP) Background: Falls commonly occur in PwP, which…Detection and Analysis of Spatio-Temporal Variables of Parkinsonian Gait Using PODOSmart® Insoles
Objective: Objective: Typical Parkinsonian gait detection and analysis is heavily dependent on expensive sensors and human labor. Here we propose the use of PODOSmart® insoles,…
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