Technology-Assisted Ankle Rehabilitation Improves Balance and Gait Performance in Stroke Survivors: A Randomized
A new robotic ankle stretcher (MAS) significantly improved ankle range of motion, balance, and gait in stroke survivors compared to traditional methods. These improvements were sustained one month post-treatment, highlighting the potential of technology-assisted rehabilitation.
Area of Science:
- Neurorehabilitation
- Biomedical Engineering
- Physical Therapy
Background:
- Stroke survivors often experience limited ankle range of motion (ROM) due to muscle imbalances.
- Traditional passive ankle stretching methods, like physical therapy or stretching boards, have accessibility and cost limitations.
Purpose of the Study:
- To evaluate the effectiveness of a newly developed robotic ankle stretching system (motorized ankle stretcher, MAS) compared to a stretching board for improving ankle ROM, balance, and gait in stroke survivors.
- To assess the retention of treatment effects over time.
Main Methods:
- Sixteen stroke survivors were randomly assigned to an intervention group (MAS) or a control group (stretching board).
- Both groups underwent seven sessions of passive dorsiflexion stretching over 3.5 weeks.
- Assessments included ankle ROM, Sensory Organization Test (SOT) for balance, walking speed, cadence, and step length, conducted at baseline, post-intervention, and one-month follow-up.
Main Results:
- The MAS group showed significant improvements in ankle ROM, SOT scores, walking speed, cadence, and step length (unaffected side).
- These improvements were maintained at the one-month retention assessment.
- The stretching board group showed minimal significant improvements, primarily in SOT scores between baseline and retention.
Conclusions:
- The motorized ankle stretcher (MAS) is an effective technology-assisted tool for improving ankle mobility, balance, and gait in stroke survivors.
- The MAS demonstrates potential for sustained rehabilitation benefits and long-term performance retention.
- Further research should optimize MAS parameters like intensity, frequency, and duration for personalized rehabilitation.
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