Actively Recruiting
AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home
Led by KU Leuven · Updated on 2026-05-12
126
Participants Needed
3
Research Sites
88 weeks
Total Duration
On this page
Sponsors
K
KU Leuven
Lead Sponsor
M
Michael J. Fox Foundation for Parkinson's Research
Collaborating Sponsor
AI-Summary
What this Trial Is About
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
Official Title
AID-FOG: Artificial Intelligence-Driven Freezing of Gait Detection in the Home
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Voluntary written informed consent obtained before study procedures
- At least 18 years old when signing the consent form
- Cognitively able to understand instructions and give consent
- Able to walk about 10 meters independently with or without a walking aid
- Does not live in a temporary or permanent care facility
- Clinical diagnosis of Parkinson's disease according to Movement Disorders Society guidelines
- Self-reports daily freezing of gait
- Willing to delay morning anti-Parkinsonian medication during standardized assessment visit
You will not qualify if you...
- Heart attack, unstable angina, stroke, coronary bypass, or related procedures within 3 months before consent
- Active cancer treatment or other serious malignant disease
- Uncontrolled severe heart failure (NYHA class >3)
- Acute psychosis, major psychiatric disorders, or ongoing substance abuse
- Other neurological or orthopedic problems significantly affecting walking
- Self-reported daily falls
- Participation in another interventional study with or without investigational drugs or devices
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 3 locations
1
Department of Rehabilitation Sciences
Leuven, Belgium, 3001
Actively Recruiting
2
Sports Science and Neurorehabilitation
Hamburg, Germany, 20457
Not Yet Recruiting
3
Center for the study of movement, cognition and mobility
Tel Aviv, Israel, 64
Not Yet Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
3
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