[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100606667":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":11,"centralContacts":20,"locations":26,"responsibleParty":44,"collaborators":11,"id":47,"slug":48,"hasResults":49,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":11,"eligibilityCriteria":53,"healthyVolunteers":49,"sex":54,"minAge":55,"maxAge":56,"enrollmentInfo":57,"targetDuration":11,"studyType":60,"phases":61,"briefSummary":63,"conditions":64,"keywords":66,"overallStatus":71,"whyStopped":11,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":81},{"fullName":5,"class":6},"McGill University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Participant","EXPERIMENTAL",null,[13],"Device: Feasibility of Two Types of Real-Time Visual Feedback in an Augmented Reality",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":11},"DEVICE","Feasibility of Two Types of Real-Time Visual Feedback in an Augmented Reality","Participants will walk in a corridor (45 m), equipped with \"Xsens\" inertial sensors recording their kinematics and an \"HTC Vive Elite-XR\" AR headset superimposing virtual feedback onto the real world. Three real-time feedback conditions (3 trials\u002Fcondition) will be evaluated randomly: (1) an avatar reflecting the participant's movements; (2) visual bars indicating step lengths; (3) control condition without feedback. Participants take part in an evaluation\u002Fintervention session.",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":11,"email":25},"Anouk Lamontagne, Associate Professor","CONTACT","(450) 688-9550 ext.84168","anouk.lamontagne@mcgill.ca",[27],{"facility":28,"status":11,"city":29,"state":30,"zip":31,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"Jewish Rehabilitation Hospital - CISSS Laval","Laval","Quebec","H7V 1R2","Canada","CA",{"type":35,"coordinates":36},"Point",[37,38],-73.692,45.56995,{"lat":38,"lon":37},[41,42],{"name":22,"role":23,"phone":24,"phoneExt":11,"email":25},{"name":22,"role":43,"phone":11,"phoneExt":11,"email":11},"PRINCIPAL_INVESTIGATOR",{"type":43,"investigatorFullName":45,"investigatorTitle":46,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"Anouk Lamontagne","Associate Professor","100606667","feasibility-of-real-time-visual-feedback-in-augmented-reality-to-reduce-gait-asymmetry-post-stroke-100606667",false,"NCT07178535","Feasibility of Real-Time Visual Feedback in Augmented Reality to Reduce Gait Asymmetry Post-Stroke","Feasibility of Two Types of Real-Time Visual Feedback in an Augmented Reality Environment to Reduce Spatial Gait Asymmetry in Adults Post-Stroke","Inclusion Criteria:\n\n* All participants must be in the subacute phase, between 14 days and 6 months following a first supratentorial stroke\n* able to walk with or without an assistive device for at least 2.5 minutes\n* present spatial asymmetry (step length ratio, SLR \\> 1.08)\n\nExclusion Criteria:\n\n* Abnormal or no-corrected visual acuity (EDTRS \\\u003C 50\u002F20)\n* visual field deficits (Goldmann or computerized perimetry)\n* cognitive impairment (Montreal Cognitive Assessment score \\\u003C 22\n* not being able to provide informed consent\n* present other conditions besides stroke that limit walking.","ALL","18 Years","65 Years",{"count":58,"type":59},20,"ESTIMATED","INTERVENTIONAL",[62],"NA","Unilateral motor deficits, such as paresis and tone disorders, are frequent consequences of stroke and lead to gait impairments. Among these, spatial asymmetry is characterized by differences in step length between the paretic and non-paretic limbs, resulting in balance problems and an increased risk of falls. Conventional rehabilitation has shown limited effectiveness in addressing this issue, highlighting the need for innovative approaches. Real-time feedback interventions, particularly through augmented reality (AR), may help improve gait asymmetry by providing a more natural and interactive learning environment.\n\nThis study aims to compare the effectiveness of two types of real-time visual feedback, an avatar-based system and visual bars, in improving gait symmetry and other locomotor parameters in individuals post-stroke. It will also assess the acceptability and usability of the intervention, participants' sense of presence, and the potential for cybersickness induced by these systems.\n\nA repeated-measures design will be used to evaluate the immediate effectiveness of the two types of visual feedback on gait asymmetry and other locomotor parameters in adults in the subacute phase after stroke. Participants, aged 18 to 65 and presenting spatial asymmetry, will perform walking trials in an AR environment while being exposed to both feedback modalities in randomized order. Spatiotemporal and kinematic data will be collected using inertial sensors, while questionnaires will assess acceptability, usability, sense of presence, and cybersickness.\n\nParticipants will be evaluated in a 45-m long corridor (free of traffic) and will perform nine walking trials (three per condition) under three randomized conditions: (1) a lateral view avatar displayed on the paretic side, previously shown to provide optimal feedback on step length; (2) a visual bar feedback representing bilateral step lengths; and (3) a \"control\" condition with no additional feedback. Each walking trial, lasting 2.5 minutes, will consist of a pre-adaptation phase without feedback (30 s), followed by an adaptation phase with feedback (1 min), and a post-adaptation phase without feedback (1 min).\n\nThe investigators expect that avatar-based feedback will be more effective than visual bars in improving spatial symmetry. The investigators also anticipate that both feedback modalities will be well accepted and usable by participants without inducing cybersickness, but that the sense of presence will be higher with avatar-based feedback. This study will shed light on locomotor adjustment mechanisms and may lay the groundwork for future clinical trials. By offering a personalized, evidence-based approach, these results could help transform post-stroke rehabilitation through the integration of innovative tools to optimize functional recovery.",[65],"Stroke",[67,68,69,70],"Post-stroke locomotor deficits","Spatial gait asymmetry","Real-time visual feedback","Augmented reality","NOT_YET_RECRUITING","2026-02-18",{"date":74,"type":75},"2026-02-19","ACTUAL",{"date":77,"type":59},"2026-04-15",{"date":79,"type":59},"2027-09-15",{"name":5,"class":6},1]