Freezing of gait, Parkinson's disease, turning problems ziekte van Parkinson, bevriezen van lopen, problemen met omdraaien
Conditions
Interventions
A comparison will be made amongst 4 cueing conditions:
Visual cueing: Using a Microsoft HoloLens, a brand of smartglasses, there are cues displayed on top of the real environment. The cues will ref
Sponsors
University of Twente, Enschede
Eligibility
Inclusion criteria
Inclusion criteria: • Age > 18 years • Diagnosed with idiopathic Parkinson’s disease according to the UK Brain Bank Criteria • Written informed consent • Presence of FOG (defined as a score of 1 on question 1 from the NFOGQ[30]: “have you ever experienced FOG in the past month?”) • Disabling/regular FOG (defined as a score of 3 “Very often, more than one time a day” on question 2 from the NFOGQ: “How often do you experience FOG?”) • Normal or corrected to normal vision.
Exclusion criteria
Exclusion criteria: • Comorbidities that cause severe gait impairment (e.g. severe arthrosis or neuropathy) • Comorbidities that cause severe vision impairment (e.g. severe maculopathy) • Severe cognitive impairments (MMSE <24) or or a score on the frontal assessment battery (FAB) of equal to or smaller than 13. • Inability to perform a 180 degree turn around the axis unaided (e.g.: without the help of a walking aid or the direct help of a person).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The main endpoint is FOG severity, as defined by the parameters: fraction of time spent with freezing; number of freezing episodes; duration of freezing. The occurrence of FOG is determined by evaluation of the video recordings by two independent trained raters. The FOG severity will be compared amongst the different cueing conditions. | — |
Secondary
| Measure | Time frame |
|---|---|
| A secondary endpoint is quantification of the turns with parameters of interest: lateral weight shifting; turn duration; cadence; step time; step height; footstep latency; motor initiation and stopping performance. Another secondary endpoint is the association of FOG parameters obtained from the video recordings, with FOG detection parameters calculated using data from the accelerometers. | — |
Contacts
Public ContactJaap de Ruyter van Steveninck
Outcome results
None listed