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Development of Digital Services for Parkinson's Disease

StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated February 3, 2025 (before its estimated April 1, 2026 completion). Its status may not reflect the trial's current state.

Record History

See every version on ClinicalTrials.gov ↗

  1. Trial status: Not Yet Recruiting to Recruiting
    • Start date changed from estimate of Dec 6, 2024 to Dec 20, 2024
    • Site details revised
    • Study description shortened, about 4 words
    v2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06733077
Lead Sponsor University of Exeter
Collaborators: University of Zurich, University Hospital, Zürich, machineMD AG, GaitQ company
Conditions
(from sponsor)		 Healthy Controls, Parkinson's Disease
Related terms Parkinson Disease
Enrollment 80 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov