Robotic Rehabilitation Optimized with AI for Stroke Patients
• A new study optimizes robotic rehabilitation for stroke patients using the ReoGo-J system, tailoring exercises to individual capabilities.
• The AI-driven approach adjusts training tasks, reach range, and assistance mode based on real-time assessment of compensatory movements.
• Results showed improved upper extremity function by inhibiting compensatory movements, enhancing targeted rehabilitation.
• The study employs item response theory to quantify patient abilities and customize robotic assistance for effective stroke recovery.
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