Detecting freezing of gait at home using AI and wearable sensors
Official title: Artificial Intelligence-Driven Freezing Of Gait Detection in the Home: Investigating How Free-living Activities Affect the Algorithm
Run by KU Leuven · NCT07580612 · Data updated 2026-11-12
This project tests whether an AI algorithm using wearable sensors can accurately detect freezing of gait in people with Parkinson's disease while they go about daily life at home.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 126 (estimated) |
| Sponsor | KU Leuven Academic / other |
| Locations | 3 sites (Leuven and 2 other locations) |
| Status | Recruiting |
| Started | September 22, 2025 |
| Main results expected | June 2027 |
| Study ends | June 2027 |
| Registry record updated | May 12, 2026 |
| Trial ID | NCT07580612 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with a neurologist-confirmed Parkinson's disease who report daily freezing of gait, can walk short distances independently, can provide informed consent, and do not live in a care facility are ideal candidates.
✕Probably not a fit
People who do not experience freezing of gait, who live in temporary or permanent care facilities, who cannot walk independently, or who cannot follow study instructions are unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Researchers will equip people with Parkinson's who experience daily freezing with wearable inertial measurement unit (IMU) sensors and collect movement data in the home environment. The AI algorithm, previously trained and initially validated in laboratory walking tests, will be run on the home sensor data to flag freezing of gait episodes. Algorithm detections will be compared to reference observations from standardized assessment visits and expert-labelled events where available. The study is observational and conducted at participating centers in Leuven, Hamburg, and Tel Aviv with home monitoring between visits.
Why it matters
Potential benefit: If successful, this could allow continuous, objective detection of freezing of gait at home, helping tailor treatment and reduce fall risk.
How similar studies have gone: Laboratory-based studies and initial validations using wearable IMUs and AI have shown promising detection of freezing of gait, but reliable performance in real-world home settings is less established.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: For all participants * Voluntary written informed consent of the participant has been obtained prior to any study-related procedures, except the non-recorded pre-screening questions; * At least 18 years of age at the time of signing the Informed Consent Form (ICF); * Person is cognitively able to follow and understand instructions and provide voluntary written informed consent; * Person is able to walk for short distances (± 10 meters) independently, with- or without use of a walking aid; * Person does not live in a temporary or permanent care facility. For participants with PD: * Clinical diagnosis of Parkinson's disease (PD) made by a neurologist according to the Movement Disorders Society guidelines; * Person self-reports to experience daily FOG (for recruitment of freezers only); * Person is willing to temporarily delay the morning anti-Parkinsonian medication during the standardized assessment visit. Exclusion criteria: * Occurrence of any of the following within 3 months prior to informed consent: myocardial infarction, hospitalization for unstable angina, stroke, coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), implantation of a cardiac resynchronization therapy device (CRTD), active treatment for cancer or other malignant disease, uncontrolled congestive heart disease (NYHA class \>3), acute psychosis or major psychiatric disorders or continued substance abuse, other neurological (than PD) or orthopaedic impairment that significantly impacts on gait; * Participant self-reports daily falls; * Participation in another interventional study, with or without an investigational medicinal product (IMP) or device (IMD)
Where it's running
-
Department of Rehabilitation Sciences
Leuven, Belgium Recruiting -
Sports Science and Neurorehabilitation
Hamburg, Germany Not yet recruiting -
Center for the study of movement, cognition and mobility
Tel Aviv, Israel Not yet recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.