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
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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
19
During the AGRF biofeedback game participants will walk on a split-belt treadmill with a projector or screen display. Participants will be receiving real-time information or feedback about ongoing gait performance parameters while they are walking. The participants will be exposed to the AGRF biofeedback game for 4 minutes.
For the traditional non-game biofeedback, the visual display comprises a horizontal line graph with a moveable cursor that represents the current measured value of antero-posterior ground reaction force for the targeted leg. The auditory feedback comprises an audible "beep" produced every time the cursor entered the target range. Participants will be exposed to the traditional biofeedback interface for 4 minutes.
Emory Rehabilitation Hospital
Atlanta, Georgia, United States
Peak AGRF
Paretic leg (right leg for post-stroke participants) or targeted leg (right leg for able-bodied participants) peak push off force (peak AGRF) was calculated from GRF data. Higher values indicate greater push off force.
Time frame: After each biofeedback interface session on Day 1
Trailing Limb Angle (TLA)
The trailing limb angle contributes to increased propulsion during walking. Trailing limb angle is a kinematic variable derived from 3-dimensional motion capture, which measures the orientation of the leg with respect to the center of mass at the stance to swing transition. In stroke survivors, trailing limb angle increases as walking speed increases.
Time frame: After each biofeedback interface session on Day 1
Likert Enjoyment/Boredom Scale Domain Scores
The Likert Enjoyment Boredom Scale is a 4-item instrument evaluating user reports of perceived effort in four different domains: Enjoyment/Fun, Boredom, Motivation, and Challenge. To assess each domain, participants are asked: * How much enjoyment/fun did you feel in the previous walking trial? * How much boredom did you feel in the previous walking trial? * How much motivation did you feel in the previous walking trial? * How much challenge did you feel in the previous walking trial? Each question is scored on a 8-point scale from 1 to 8, where the intensity of each domain is scored as 1 = not at all to 8 = very much/a lot. For the individual domains, higher scores are interpreted as the participant experiencing greater enjoyment/fun, boredom, motivation, or challenge.
Time frame: Day 1, after each of the biofeedback interface sessions
NASA Task Load Index (NASA - TLX)
The NASA task load index (NASA - TLX) evaluates user reports of perceived effort in six subscales of Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration. Each subscale is scored on a 21-point scale from 1 to 21, where very low demand/perfect performance = 1 and very high demand/failure = 21. A total score is created by taking the average of each subscale; the total score ranges from 1 to 21 with higher scores indicating that the task is very demanding to perform.
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Participants will complete a control walk with out feedback.
Time frame: Day 1, after each of the biofeedback interface sessions
Borg Rating of Perceived Exertion (RPE) Scale
The Borg Rating of Perceived Exertion (RPE) Scale asks respondents to report how hard it feels like their body is working with a single item. Perceived exertion is rated on a scale from 6 to 20 where "no exertion at all" is scored as 6 and "maximal exertion" is scored as 20. Ratings between 12 and 14 are generally considered as a moderate intensity level.
Time frame: Day 1, during each of the biofeedback interface sessions
User Evaluation Questionnaire (UEQ) Score
User experience of the biofeedback game is assessed with a 26-item user evaluation questionnaire (UEQ). Participants indicate how they found the session to be for a variety of usability qualities, including likability, speed, and meeting expectations. Responses are given on a 7-point scale where scale where 1 = the most agreement with the adjective on the left, 4 = a neutral response, and 7 = the most agreement with the adjective on the right. For some items high scores are associated with positive perceptions, while for other items low low scores are associated with positive perceptions. Items were grouped according to whether high or low scores meant positive perceptions and separate summary scores were obtained by calculating the mean score for the items included, so that the summary scores range from t to 7.
Time frame: Day 1, after each of the biofeedback sessions