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Development of Digital Diagnostic Devices for Parkinson's Disease

NCT06663826 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-10-07

No results posted yet for this study

Summary

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

  • Parkinson Disease

Interventions

DIAGNOSTIC_TEST

oculomotor and pupillary function assessment

This is an exploratory open-label single-centre research project intended to collect data of PD patients in order to develop machine learning models for helping in the diagnosis and monitoring of PD. Each patient will have an initial visit and then a second visit after two weeks. The estimated duration of the study visit 1 is 3 hours, not taking into account the time for patient information and informed consent. The estimated duration of the study visit 2 is 2 hours. During these two visits, patients will undergo an MDS-UPDRS assessment, a neos examination, a standard manual ocular motor and pupil function examination, and gait assessment simultaneously with GaitQ senti and an IMU sensor placed on their back. In the two weeks separating the two visits, patient's gait will be monitored daily at home with GaitQ senti, where they will perform a daily TUG test comprising of 15 m walk, 5 sit to stand, and 5-minute walk. Healthy individuals data will be included from a previous study.

Sponsors & Collaborators

  • University of Zurich

    collaborator OTHER

  • University Hospital, Zürich

    collaborator UNKNOWN

  • University of Exeter

    collaborator OTHER

  • gaitQ Limited

    collaborator UNKNOWN

  • machineMD AG

    lead INDUSTRY

Principal Investigators

  • Konrad Weber, Prof. Dr. med. · University of Zurich

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-10-01
Primary Completion
2026-06-30
Completion
2026-06-30

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06663826 on ClinicalTrials.gov