Actively Recruiting
Development of Digital Services for Parkinson's Disease
Led by University of Exeter · Updated on 2025-02-03
80
Participants Needed
1
Research Sites
66 weeks
Total Duration
On this page
Sponsors
U
University of Exeter
Lead Sponsor
U
University of Zurich
Collaborating Sponsor
AI-Summary
What this Trial Is About
In this project, ocular motor, pupil and gait data in people with Parkinson's disease (PD) will be collected in order to develop machine learning models for the diagnosis and monitoring of PD. With this, the investigators aim to advance the state of the art in PD diagnosis and monitoring. By integrating the principles of machine learning with high-quality sensor data, more accurate and earlier diagnosis could potentially be achieved. Ocular motor and pupil data will be collected with the standard clinical examination and with neos, a medical device approved for objective ocular motor and pupil measurement. Gait will be collected using an IMU sensor and GaitQ senti, a consumer device that allows for an objective and continuous remote gait monitoring.
CONDITIONS
Official Title
Development of Digital Services for Parkinson's Disease
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Diagnosis of idiopathic Parkinson's disease (UK Brain Bank Criteria) or other appropriate condition-specific scale (stroke, multiple sclerosis, arthritis, or osteoporosis)
- Able to self-report history of daily gait freezing and/or festination for people with PD or gait and/or transfers affected by condition
- Able to walk unsupported or using an aid for at least 5 minutes and satisfactory completion of the Canadian PARQ; if over 69, used to carrying out this level of exercise
- Adult (18 years or older)
- Normal or corrected-to-normal vision (Snellen Visual Acuity > 12/18) or safe to mobilise with support
- Montreal Cognitive Assessment score > 21 or ability to follow 2-stage commands
- Healthy participants with no long-term conditions affecting movement
- Healthy participants able to walk unsupported or using an aid for at least 3 minutes and satisfactory completion of the Canadian PARQ; if over 69, used to carrying out this level of exercise
You will not qualify if you...
- Any physical or mental condition affecting ability to safely participate and capacity to understand testing as demonstrated by ability to safely follow commands and pass the PARQ
- Cognitive impairment affecting ability to safely participate and follow instructions
- Any injury or disorder that may affect balance (other than Parkinson's or referring primary condition)
- Any skin conditions or broken skin in the calf and behind knee area
- Deep brain stimulation or pacemaker implants or other implants that may interfere with the measurement system
- Medications likely to affect eyesight or use of virtual reality system (for participants with Parkinson's)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
University of Exeter
Exeter, United Kingdom, EX1 2LU
Actively Recruiting
Research Team
P
Pavlos Evangelidis, PhD
CONTACT
H
Helen Dawes, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
OTHER
Number of Arms
1
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