Parkinson Disease Clinical Trial
— ELIMINATE-FOGOfficial title:
External vs Internal-triggered Augmented-reality Visual Cues to Treat Freezing of Gait
NCT number | NCT05608915 |
Other study ID # | 22-846 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | November 17, 2022 |
Est. completion date | July 28, 2023 |
Verified date | December 2023 |
Source | The Cleveland Clinic |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Postural instability, freezing-of-gait (FOG), and falls are among the greatest unmet needs in Parkinson disease (PD). FOG eventually affects more than half of people with PD, and is notoriously difficult to treat pharmacologically or via deep brain stimulation. Visual cues do improve gait freezing, but their efficacy and adoption is limited because they are not practical to use in all real-world situations. There is a need for a cueing technique that is on-demand and discreet - only perceptible to the patient. Fortunately, recent technological advances in augmented-reality (AR) enable such an approach. In this study, state-of-the-art AR glasses will be used to project digital cues that are only visible to the wearer, to determine if they can improve FOG. 36 individuals with PD and FOG will be recruited to perform an obstacle-course gait task under six cue conditions: no cue, conventional cue, constant-on AR, patient-hand-triggered AR (turns on when patient clicks button), patient-eye-triggered AR (turns on when looking down), and examiner-triggered AR. The AR cue is a set of images that appear on the floor at a patient's feet, mimicking floor lines. Gait performance will be captured on video and via body-worn wireless sensors that detect how each limb is moving. The investigators will determine whether individuals are cue-able with conventional visual cues, whether intermittent cues outperform constant-on cues, and whether cues triggered by an examiner outperform cues triggered by patients themselves.
Status | Completed |
Enrollment | 36 |
Est. completion date | July 28, 2023 |
Est. primary completion date | July 28, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 21 Years and older |
Eligibility | Inclusion Criteria: - Clinical diagnosis of PD - Presence of freezing of gait, defined as a score of =1 in MDS-UPDRS 2.13, or 3.11. - Can walk without assistance, OFF meds, based on yes/no verbal response Exclusion Criteria: - Severity of gait impairment should not require dependency to walker or cane - Concomitant conditions that may affect significantly the evaluation of balance or gait, including orthopedic, rheumatologic or other neurological diseases - Contraindication to physical therapy - Severe bilateral visual impairment - Age < 21 - Diagnosis of dementia - Not agreeable to having video taken of entire research visit |
Country | Name | City | State |
---|---|---|---|
United States | Cleveland Clinic Foundation | Cleveland | Ohio |
Lead Sponsor | Collaborator |
---|---|
The Cleveland Clinic | American Parkinson's Disease Association, Inc |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Stride Time Coefficient of Variation | Marker of gait dysfunction, derived from kinematic recordings from body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Primary | Percent Time Freezing | Marker of gait freezing, derived from video recordings of gait performance, and body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Secondary | Step Cadence | Marker of dysfunction, derived from kinematic recordings from body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Secondary | Gait Velocity | Marker of gait dysfunction, derived from kinematic recordings from body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Secondary | Mean Stride Length | Marker of gait dysfunction, derived from kinematic recordings from body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Secondary | Total Distance Walked | Marker of gait dysfunction, derived from augmented-reality headset and other body-worn wireless sensors | For each arm, during the single-day research visit only. | |
Secondary | Freezing Index | Marker of gait freezing, derived from kinematic recordings from body-worn wireless sensors. | For each arm, during the single-day research visit only. | |
Secondary | Number of Freeze Episodes | Marker of gait freezing, derived from video recordings of gait performance, and body-worn wireless sensors. | For each arm, during the single-day research visit only. |
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