Augmented reality turning-cues in Parkinson’s Disease
- Conditions
- Freezing of gait, Parkinson's disease, turning problemsziekte van Parkinson, bevriezen van lopen, problemen met omdraaien
- Registration Number
- NL-OMON27339
- Lead Sponsor
- niversity of Twente, Enschede
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Other
- Sex
- Not specified
- Target Recruitment
- 16
Inclusion Criteria
•Age > 18 years
•Diagnosed with idiopathic Parkinson’s disease according to the UK Brain Bank 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)
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 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 Outcome Measures
Name Time Method 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.