Feasibility of Real-Time Visual Feedback in Augmented Reality to Reduce Gait Asymmetry Post-Stroke

McGill University

Status

Not yet enrolling

Conditions

Stroke

Treatments

Device: Feasibility of Two Types of Real-Time Visual Feedback in an Augmented Reality

Study type

Interventional

Funder types

Other

Identifiers

NCT07178535

MP-50-2025-2284

2025-2026 - BF7 - 363369 (Other Grant/Funding Number)

Details and patient eligibility

About

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.

This 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.

A 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.

Participants 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).

The 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.

Enrollment

20 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

All participants must be in the subacute phase, between 14 days and 6 months following a first supratentorial stroke
able to walk with or without an assistive device for at least 2.5 minutes
present spatial asymmetry (step length ratio, SLR > 1.08)

Exclusion criteria