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Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
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Robot-Assisted Reach Training With an Active Assistant Protocol for Long-Term Upper Extremity Impairment Poststroke:
1Department of Physical Therapy, Korea National University of Transportation, Jeungpyeong, Republic of Korea.
Archives of Physical Medicine and Rehabilitation
|January 29, 2019
Summary
Robot-assisted reach training (RART) improved upper extremity function in stroke survivors. The assist-as-needed protocol showed superior results compared to the guidance force method for rehabilitation.
Area of Science:
- Neurorehabilitation
- Robotics in Medicine
- Biomechanics
Background:
- Stroke survivors often experience impaired upper extremity function.
- Robot-assisted therapy offers a potential avenue for rehabilitation.
Purpose of the Study:
- To evaluate the efficacy of robot-assisted reach training (RART) using an active assistant protocol.
- To compare an assist-as-needed (RT-AAN) mode with a guidance force (RT-G) mode in chronic stroke survivors.
Main Methods:
- A randomized controlled trial was conducted with 38 chronic stroke survivors.
- Participants were assigned to either the RT-AAN group or the RT-G group for a 6-week period.
- Upper extremity function was assessed using Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT), and kinematic performance was measured via movement velocities.
Main Results:
- Both groups demonstrated significant improvements in upper extremity function and kinematic performance.
- The RT-AAN group exhibited significantly greater improvements in FMA and ARAT scores compared to the RT-G group.
Conclusions:
- Robot-assisted reach training with an active assistant protocol effectively enhances upper extremity function and kinematics in chronic stroke survivors.
- The assist-as-needed robot control mode appears particularly effective for upper extremity rehabilitation.
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