Normative Database for Gait Analysis on the GRAIL UZ Gent

Study Overview
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Brief Summary
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The aim of this study is to collect a large set of norm/control data on an instrumented treadmill (the Gait Real-time Analysis Interactive Lab - GRAIL) at the university hospital of Ghent for the purpose of clinical studies as well as for clinical interpretation. We hypothesize that this norm/control data will provide reference data of the normal gait patterns in the healthy population such that we can then use it to identify gait abnormalities in populations with pathology. The following data will be collected on the GRAIL while subjects walk at different gait speeds: 3D kinematics, kinetics, and EMG. Additionally, 3D kinematics, kinetics, and EMG data will be collected when performing either a cognitive (Stroop Color and Word Test) or motor (requiring arm swing) dual-task while walking at comfortable walking speed.

Official Title
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Normative Database for Gait Analyses and Balance on the GRAIL at the University Hospital of Ghent.

Conditions
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Gait

Intervention / Treatment
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* Other: Walking on an instrumented treadmill
* Other: Walking on an instrumented treadmill while dual-tasking


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: - Healthy participants Exclusion Criteria: They suffer from neurological disorder Have balance problems Take medications that affect gait and balance Have undergone surgical procedures on the lower limbs in the past Experience pain in their lower limbs or back at the time of test taking.

Ages Eligible for Study
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Minimum Age: 6 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Basic Science
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Treadmill walking<br>Participants will be asked to walk at different gait velocities for 1 minute. The treadmill speed will be increased incrementally at 0.1m/s intervals until just before running. | Other: Walking on an instrumented treadmill<br>* Participants will be asked to walk at different gait velocities for 1 minute. The treadmill speed will be increased incrementally at 0.1m/s intervals until just before running.<br>Other: Walking on an instrumented treadmill while dual-tasking<br>* Participants aged between 6 and 17 years will be asked to walk at comfortable walking speed while playing either a cognitive (Stroop Color and Word Test) or motor (requiring arm swing) game.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Kinematics | 3D kinematics of lower and upper limb joints while walking (degrees) | single point assessment in 1 day | 
| Kinetics | 3D kinetics of lower limb joints while walking (Nm) | single point assessment in 1 day | 
| EMG | Muscle activity of 32 lower and upper limb muscles (micorvolts) | single point assessment in 1 day | 
| EMG synergies | Synergy analysis will be carried using the EMG data (variance accounted for -VAF) | single point assessment in 1 day | 
| Spatiotemporal parameters | Spatial parameters (m) | single point assessment in 1 day | 
| Spatiotemporal parameters | Temporal parameters (s) | single point assessment in 1 day | 
| Spatiotemporal parameters | Walking velocity (m/s) | single point assessment in 1 day | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Gait deviation index | Based on kinematics, the lower-limb gait deviations will be calculated (degrees) | single point assessment in 1 day | 
| Game result (cognitive task) | Score (% correct) | single point assessment in 1 day | 
| Game result (motor task) | Score (% correct) | single point assessment in 1 day | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Gait analysis, Control group, Healthy, Reference data, Kinematics, Kinetics, EMG, Dual-tasking