The Effect of Applying Robot-Assisted Task-Oriented Training Using Human-Robot Collaborative Interaction Force...

Area of Science:

• Neuroscience
• Robotics
• Rehabilitation Medicine

Background:

• Stroke is a leading cause of disability, often impairing upper limb function and reducing quality of life.
• Robot-assisted therapy shows promise for improving upper limb function post-stroke.
• Human-robot collaborative interaction force control is key to enhancing robot-assisted rehabilitation.

Purpose of the Study:

• To evaluate the effectiveness of human-robot collaborative interaction force control technology in robot-assisted upper limb rehabilitation for stroke patients.
• To assess improvements in Fugl-Meyer and modified Barthel index (MBI) scores following robot-assisted training.

Main Methods:

• Application of human-robot collaborative interaction force control technology in a robot-assisted task-oriented training system.
• Clinical experiments involving five stroke patients undergoing the intervention.
• Assessment of Fugl-Meyer and modified Barthel index (MBI) scores before and after treatment.

Main Results:

• Stroke patients demonstrated significant improvements in both Fugl-Meyer and MBI scores after robot-assisted rehabilitation.
• The applied technology enhanced robot performance and patient recovery outcomes.

Conclusions:

• Human-robot collaborative interaction force control technology is a valuable tool for enhancing robot-assisted stroke rehabilitation.
• This approach shows potential for improving upper limb function and patient recovery after stroke.