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The aim of this study is to investigate the effect of manipulating the optic flow speed in the virtual environment on the gait pattern during virtual reality (VR) - enhanced treadmill walking in people post-stroke. Furthermore, the study will also investigate if the level of immersion has an effect on the rehabilitation outcomes by manipulating the optic flow speed in two different VR devices: the semi-immersive GRAIL system and the fully-immersive 'Oculus Rift S' HMD.
To properly understand the results of the people with a stroke, we will also investigate the effect of manipulating the optic flow speed and the level of immersion on the gait pattern in healthy people. That way, we can investigate whether virtual reality has a different influence on the gait pattern of people with a stroke than in healthy people.
Full description
STUDY DESIGN
This study is an experimental, 2-group, multicenter trial in which people post-stroke and healthy people will perform 2 different sessions of treadmill walking. The 2 sessions will be carried out on 2 separate days within 10 days. Both sessions will be identical, only the VR system used to manipulate the optic flow speed will differ. The order of the 2 sessions and the optic flow speed manipulation will be randomized.
MATERIALS
GRAIL system: The Gait Real-time Interactive Lab (GRAIL) is an integrative motion capture system consisting of 10 optical motion cameras (Vicon Inc., Oxford, UK), a dual belt treadmill with integrated force plates, a 180-degree cylindrical projection screen system, and D-Flow software (Motekforce Link, Amsterdam, Netherlands). The treadmill of the GRAIL system has two modes: fixed walking speed or self-paced. For this study, the treadmill will be self-paced, meaning that the patient is in control and can choose the walking speed. The treadmill will follow the walking speed of the patient, which allow the patient to start, stop and change speed at will. The projection screen of the GRAIL system will assure a semi-immersive virtual environment. The GRAIL system is located in the Smart Space lab (UZ Gent) and will be made available at the researchers of the VUB/UZ Brussel.
Head-mounted display (HMD): The HMD VR system 'Oculus Rift S' (Oculus, LLS, US) is a low-cost HMD that fully integrates the user into the virtual environment by blocking out perception of the real-world. The "Oculus Rift S" will assure a fully immersive virtual environment. The researchers of the VUB/UZ Brussel have the HMD 'Oculus Rift S' in their possession and will make it available for the study.
PROCEDURE
Both sessions will be carried out in the Smart Space lab at the University Hospital of Ghent (Corneel Heymanslaan 10, 9000 Gent) where the GRAIL system is located.
Prior to the start of both sessions, some preparations will have to be done with regard to the outcome measures:
After these preparations, patients will start to walk on the self-paced treadmill of the GRAIL system. For safety only, patients will walk with the safety harness. Patients will first be habituated to walking on the self-paced treadmill for 8 minutes without any form of VR. Patients need this habituation trial in order to get used to the self-paced treadmill system. After these 8 minutes, the treadmill will be stopped and patients will be seated for a 5-minute rest period. During the rest period, patients will be asked to fill in two short questionnaires (the Simulator Sickness Questionnaire-1, the VAS scales).
GRAIL session: After the 5-minute rest period, patients will walk for another 3 times 8 minutes with the VR. Patients are now walking while looking at a virtual environment that is projected onto the projection screen of the GRAIL device (semi-immersive). The optic flow will be different during each 8-minute walk. Between each walk, patients will rest for 5 minutes and during each rest period, patients will be asked to fill in a short questionnaire (the Simulator Sickness Questionnaire-2,-3).
HMD session: After the 5-minute rest period, patients will walk for another 3 times 8 minutes with the VR. Patients are now walking while wearing the HMD 'Oculus Rift' and are being fully immersed in a virtual environment (fully-immersive). The optic flow will be different during each 8-minute walk. Between each walk, patients will rest for 5 minutes and during each rest period, patients will be asked to fill in the a short questionnaire (the Simulator Sickness Questionnaire-2,-3).
To end both sessions, participants will be asked to fill in 3 questionnaires (the Simulator Sickness Questionnaire-Post, the VAS scales and the Igroup Presence Questionnaire).
RANDOMIZATION
First, the type of session will be randomized with 2 possible options: GRAIL - HMD or HMD - GRAIL. Second, the optic flow speed manipulation (matched, slow, fast) within the session will be randomized. The order of the manipulation will be the same in both sessions. The first 8 minutes in each session will always be the one without VR. Thereafter, the optic flow speed will be manipulated. There are 6 possible options for the randomization of the optic flow speed manipulation: matched - slow - fast / matched - fast - slow / slow - fast - matched / slow - matched - fast / fast - slow - matched / fast - matched - slow. The randomizations will be done through block randomization in Microsoft Excel®.
STUDY ANALYSIS
This study will investigate (1) the effect of manipulating the optic flow speed and (2) the effect of the level of immersion (semi-immersive GRAIL system with full-immersive HMD).
The effect optic flow speed has on the spatiotemporal gait parameters, kinematics, kinetics and muscle activity will be compared with walking without VR. In a first stage, the data will be visualized using LO(W)ESS smoothing (locally weighted scatterplot smoothing) to explore the observed effects over time (per condition and outcome), allowing for flexibility using this quasi-nonparametric approach. Next, relevant values expressing onset, magnitude and duration of the effect will be extracted:
These values will be compared between conditions in a two-way repeated measures ANOVA (optic flow speed * device). If relevant (based on the exploratory analyses), additional in-depth statistics, such as functional data analysis, will be performed under the guidance of the Department of Statistics and Data Analysis of our university.
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Inclusion Criteria stroke patients:
Exclusion Criteria stroke patients:
Inclusion Criteria healthy people:
Exclusion Criteria healthy people:
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32 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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