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AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home

NCT07580612 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 126

Last updated 2026-05-12

No results posted yet for this study

Summary

Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease increases the risk of falling. Despite being a common symptom, it is still difficult to evaluate freezing of gait quickly and accurately. Currently, the gold-standard method to determine the severity of FOG is a manual analysis of video footage by an experienced assessor, collected during standardized FOG-provoking walking tests. Because this is a very time-intensive process, where different assessors sometimes obtain different results, our team at KU Leuven have developed an artificial-intelligent (AI) algorithm trained to identify FOG episodes based on wearable inertial measurement unit (IMU) sensor data. The AI algorithm has already undergone initial validation during laboratory testing, yielding promising results. The aim of this study is to investigate whether the AI algorithm can accurately detect FOG episodes in a less controlled environment, namely the home environment. In a second phase, the investigators will also use the collected data to improve the AI algorithm for automated FOG detection in the home. Finally, the investigators want to explore whether the AI algorithm can detect FOG in real-time.

Conditions

  • Parkinson Disease, Idiopathic
  • Freezing of Gait
  • Validation
  • Wearable Sensors
  • Artifical Intelligence

Sponsors & Collaborators

  • Michael J. Fox Foundation for Parkinson's Research

    collaborator OTHER

  • Tel Aviv Medical Center

    collaborator OTHER

  • Medical School Hamburg

    collaborator OTHER

  • KU Leuven

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-22
Primary Completion
2027-06-30
Completion
2027-06-30

Countries

  • Belgium
  • Germany
  • Israel

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 NCT07580612 on ClinicalTrials.gov