A simulation-based framework with a proprioceptive musculoskeletal model for evaluating the rehabilitation...

Area of Science:

• Biomedical Engineering
• Rehabilitation Robotics
• Neuroscience

Background:

• Stroke survivors often experience gait impairments.
• Rehabilitation exoskeletons show promise for restoring normal gait.
• Current exoskeleton evaluation methods are complex and time-consuming.

Purpose of the Study:

• To develop a convenient simulation-based method for evaluating exoskeleton efficiency.
• To optimize a self-developed exoskeleton for stroke rehabilitation.
• To utilize a proprioceptive musculoskeletal model for simulation.

Main Methods:

• Recruited three stroke patients with dyskinesia for gait experiments.
• Developed simulations using a proprioceptive model and exoskeleton model.
• Collected kinematic data and analyzed joint angles, muscle activations, and metabolic costs.

Main Results:

• Exoskeleton use improved joint angle CORA scores by 11.6-37.8%.
• Proprioceptive feedback stimulation frequency increased, indicating neural rehabilitation.
• Muscle activations were optimized, and metabolic costs were reduced.

Conclusions:

• The simulation-based method is practical for pre-evaluating and optimizing exoskeleton designs.
• This approach offers a convenient alternative to complex experimental evaluations.
• The findings support the use of simulations in advancing exoskeleton technology for gait rehabilitation.