EligibleTrials

Development of Digital Services for Parkinson's Disease

Recruiting · NCT06733077 · Interventional (participants receive a specific treatment) · Lead sponsor: University of Exeter

View the official record on ClinicalTrials.gov →
Parkinson's Disease

Interventions studied

gait with cueing wearable device and neuro-ocular performance

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.

Who can take part

Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
Yes - healthy volunteers may be accepted
Phase
Not applicable (e.g. observational or device study)
Study type
Interventional (participants receive a specific treatment)

Inclusion criteria

Exclusion criteria

Where it is running

1 location listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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