So what if compensatory motions occur? If you were teaching a baby to walk they would never get there because you are expecting perfection every time. How many times do stroke survivors need to fail at a movement before the brain finally realizes it can control that movement? If you don't know the answer then just shut up and let survivors figure out the best way to move. Don't you learn faster from failures?
Investigating the feasibility and acceptability of real-time visual feedback in reducing compensatory motions during self-administered stroke rehabilitation exercises: A pilot study with chronic stroke survivors
Abstract
Introduction:Homework-based rehabilitation programs can help stroke survivors restore upper extremity function.However, compensatory motions can develop without therapist supervision, leading to sub-optimal recovery.We developed a visual feedback system using a live video feed or an avatar reflecting users’ movements so users are aware of compensations. This pilot study aimed to evaluate validity (how well the avatar characterizes different types ofcompensations) and acceptability of the system.Methods:Ten participants with chronic stroke performed upper-extremity exercises under three feedback conditions:none, video, and avatar. Validity was evaluated by comparing agreement on compensations annotated using video andavatar images. A usability survey was administered to participants after the experiment to obtain information onacceptability.
Results:There was substantial agreement between video and avatar images for shoulder elevation and hip extension(Cohen’sk: 0.6–0.8) and almost perfect agreement for trunk rotation and flexion (k: 0.80–1). Acceptability was low due to lack of corrective prompts and occasional noise with the avatar display. Most participants suggested that an automatic compensation detection feature with visual and auditory cuing would improve the system.
Conclusion:The avatar characterized four types of compensations well. Future work will involve increasing sensitivity for shoulder elevation and implementing a method to detect compensations.
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