Actively Recruiting
Development of Digital Diagnostic Devices for Parkinson's Disease
Led by machineMD AG · Updated on 2025-10-07
100
Participants Needed
1
Research Sites
91 weeks
Total Duration
On this page
Sponsors
M
machineMD AG
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 Diagnostic Devices for Parkinson's Disease
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Diagnosis of Parkinson's disease or another parkinsonian syndrome (atypical Parkinson's)
- Refractive error between -6 and +4 diopters in both eyes
- Signed informed consent from participant
- Able to self-report daily history of gait freezing and/or festination
- Able to walk unsupported or with an aid for at least 5 minutes and, if over 69 years old, accustomed to this level of exercise
You will not qualify if you...
- Other known neurological diseases
- Current use of medications or drugs that may affect ocular motor performance or study compliance, except Parkinson's medications
- Inability to understand or comply with study procedures due to cognitive decline or other reasons
- Any injury or disorder affecting eye movement measurements or balance unrelated to Parkinson's or primary condition
- Skin conditions or broken skin on calf or behind knee
- Lack of access or limited connectivity to WiFi at home
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
University Hospital of Zurich
Zurich, Canton of Zurich, Switzerland, 8091
Actively Recruiting
Research Team
A
Ana Coito, Ph.D.
CONTACT
P
Pia Massatsch, Ph.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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