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Clinical Trial Summary

This study will conduct a preliminary evaluation of and obtain user data on a novel game-based visual interface for stroke gait training. Study participants will complete one session comprising exposure to gait biofeedback systems in an order determined by randomization. Participants will be exposed to 2 types of biofeedback interfaces: - newly developed game-based interface (projector screen display) - traditional, non-game interface


Clinical Trial Description

Stroke is the leading cause of adult disability. Even after discharge from rehabilitation, residual gait deficits are prevalent in stroke survivors, leading to decreased walking speed and endurance. Because gait dysfunctions limit community mobility, stroke survivors and rehabilitation clinicians consider restoration of walking a major goal of rehabilitation. Several challenges and research gaps limit the effectiveness of current clinical gait rehabilitation practices. While there is consensus that stroke survivors benefit from gait rehabilitation, agreement is lacking on which specific training interventions are most efficacious. The long-term goal of this proposal is to address these challenges by developing personalized, engaging, salient gait training treatments founded on evidence from neuroscience, biomechanics, motor learning, and gaming. Real-time biofeedback is a promising gait training intervention for targeting specific biomechanical impairments. Biofeedback can enhance an individual's awareness of the impairment targeted during gait training, enabling self-correction of aberrant gait patterns. In response to treadmill training combined with visual and auditory real-time biofeedback, able-bodied individuals can increase anterior ground reaction forces (AGRF) unilaterally for the targeted limb. Thus, AGRF biofeedback may be a beneficial strategy to target unilateral propulsive deficits in people post-stroke. Incorporation of gaming interfaces for gait biofeedback can increase patient motivation, distract participants from fatigue or boredom, and encourage greater numbers of repetitions during gait training. The long-term goal of this study is to develop a more engaging, motivating gait biofeedback methodologies specifically designed for post-stroke gait training. The researchers aim to address a major challenge for rehabilitation clinicians - to make gait training appealing and meaningful so that patients engage in sufficient repetitions, intensity, and challenge to maximize therapeutic effectiveness. The study premise is that post-stroke individuals will demonstrate greater engagement, motivation, and therapeutic benefits during gait training sessions involving biofeedback when training incorporates intuitive, entertaining, game-based interfaces. Outcomes of the study will include measures of participant engagement, user-reports and survey-responses on motivation, fatigue, game characteristics, and adverse effects (e.g. nausea, dizziness) during game exposure. In addition to this clinical trial with stroke survivor participants, data about the game interface will be collected by having able-bodied neuro-rehabilitation clinicians try the 2 types of biofeedback interventions. Study participants will complete one sessions comprising exposure to gait biofeedback systems in a randomized order. Participants will be exposed to 2 types of biofeedback interfaces: (i) newly developed game-based interface (projector screen display), and (ii) traditional, non-game interface. In a separate session, some participants may complete preliminary or exploratory testing of the virtual reality (VR) version of the biofeedback game (head-mounted augmented reality (AR) or VR display), which will be used to determine feasibility and preliminary effects of VR-based feedback on gait. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04013971
Study type Interventional
Source Emory University
Contact Trisha Kesar, PT, PhD
Phone 404-712-5803
Email tkesar@emory.edu
Status Recruiting
Phase N/A
Start date April 4, 2022
Completion date February 28, 2024

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