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The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
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    This study introduces a robot decision-making system for task-oriented therapy, enabling robots to decide when to assist patients during rehabilitation. The method uses a 3-D decision boundary to improve physical rehabilitation therapist availability.

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    Area of Science:

    • Robotics in Rehabilitation
    • Human-Robot Interaction
    • Assistive Technology

    Background:

    • Task-oriented therapy involves demonstration, observation, and assistance stages.
    • Robotic assistance has been explored for demonstration but less for observation and assistance.
    • A gap exists in robotic decision-making for transitioning from observation to active assistance.

    Purpose of the Study:

    • To develop a robot decision-making algorithm for the observation-to-assistance transition in task-oriented therapy.
    • To enable robots to autonomously decide when to intervene and assist a patient.
    • To address the shortage of physical rehabilitation therapists through automated assistance.

    Main Methods:

    • Training a discrete, tunnel-shaped 3-D decision boundary using correct movement demonstrations.
    • Classifying patient motions based on observed hand positions.
    • Incorporating conditions like slow progress, self-correction, and overshot motions into the decision-making process.
    • Implementing the algorithm on the BAXTER robot for a cup-reaching task.

    Main Results:

    • The BAXTER robot successfully assisted patients based on the algorithm's decision boundary.
    • The system demonstrated feasibility in handling various motion scenarios, including correct, slow, overshot, and misaimed movements.
    • Preliminary experiments confirmed the system's ability to provide timely assistance.

    Conclusions:

    • The proposed method is feasible for robotic assistance in task-oriented therapy.
    • This approach can help alleviate the current shortage of physical rehabilitation therapists.
    • Automated decision-making in robotic rehabilitation offers a promising avenue for patient care.