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Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke. | LitMetric

AI Article Synopsis

  • Stroke is a major cause of long-term disability in the U.S., but recent research shows that intensive, task-specific practice can improve upper-limb function in chronic patients through at-home supervised telerehabilitation.
  • The Tele-REINVENT system includes portable, low-cost biofeedback technology that uses electromyography to help patients learn proper muscle control by reducing unwanted co-contractions during their rehabilitation sessions.
  • A pilot case study with a stroke survivor indicated that the system is safe, enjoyable, and effective in enhancing muscle differentiation over a 10-week training period, supporting the potential of low-cost tools for home-based rehabilitation.

Article Abstract

Stroke is a leading cause of long-term disability in the United States. Recent studies have shown that high doses of repeated task-specific practice can be effective at improving upper-limb function at the chronic stage. Providing at-home telerehabilitation services with therapist supervision may allow higher dose interventions targeted to this population. Additionally, muscle biofeedback to train patients to avoid unwanted simultaneous activation of antagonist muscles (co-contractions) may be incorporated into telerehabilitation technologies to improve motor control. Here, we present the development and feasibility of a low-cost, portable, telerehabilitation biofeedback system called Tele-REINVENT. We describe our modular electromyography acquisition, processing, and feedback algorithms to train differentiated muscle control during at-home therapist-guided sessions. Additionally, we evaluated the performance of low-cost sensors for our training task with two healthy individuals. Finally, we present the results of a case study with a stroke survivor who used the system for 40 sessions over 10 weeks of training. In line with our previous research, our results suggest that using low-cost sensors provides similar results to those using research-grade sensors for low forces during an isometric task. Our preliminary case study data with one patient with stroke also suggest that our system is feasible, safe, and enjoyable to use during 10 weeks of biofeedback training, and that improvements in differentiated muscle activity during volitional movement attempt may be induced during a 10-week period. Our data provide support for using low-cost technology for individuated muscle training to reduce unintended coactivation during supervised and unsupervised home-based telerehabilitation for clinical populations, and suggest this approach is safe and feasible. Future work with larger study populations may expand on the development of meaningful and personalized chronic stroke rehabilitation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961888PMC
http://dx.doi.org/10.3390/s21051806DOI Listing

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