<p>Technological advances have facilitated the use of robotic devices in rehabilitation for neuromuscular disorders, but traditional clinical assessments remain subjective. This study introduces a quantitative evaluation protocol for robot-assisted therapy targeting upper limb impairments. A 24-session program was conducted with a healthy volunteer and a neurological patient, using complex trajectory tracking. Kinematic data and electromyography (EMG) signals from four muscles (biceps brachii, triceps brachii, anterior and posterior deltoid) were analyzed to assess motor function. Results revealed notable improvements in the patient’s affected limb, including increased strength, range of motion, and movement accuracy (63% error reduction) and smoothness (32% improvement). EMG analysis showed enhanced muscle activity, particularly in the anterior (65%) and posterior deltoids (226%). The patient’s movements aligned more closely with those of the healthy volunteer, indicating significant recovery. The study highlights the effectiveness of robotic-assisted therapy in tracking complex trajectories and demonstrates the value of kinematic and EMG-based metrics for evaluating motor recovery and muscle activation. This approach provides objective insights into rehabilitation progress, offering a robust alternative to subjective assessments.</p>

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Case study on robotic-assisted therapy: kinematic and EMG analysis of upper limb motor recovery in complex trajectory tracking

  • Jimena García-Silva,
  • Marco O. Mendoza-Gutiérrez,
  • Isela Bonilla-Gutiérrez,
  • Bersaín A. Reyes

摘要

Technological advances have facilitated the use of robotic devices in rehabilitation for neuromuscular disorders, but traditional clinical assessments remain subjective. This study introduces a quantitative evaluation protocol for robot-assisted therapy targeting upper limb impairments. A 24-session program was conducted with a healthy volunteer and a neurological patient, using complex trajectory tracking. Kinematic data and electromyography (EMG) signals from four muscles (biceps brachii, triceps brachii, anterior and posterior deltoid) were analyzed to assess motor function. Results revealed notable improvements in the patient’s affected limb, including increased strength, range of motion, and movement accuracy (63% error reduction) and smoothness (32% improvement). EMG analysis showed enhanced muscle activity, particularly in the anterior (65%) and posterior deltoids (226%). The patient’s movements aligned more closely with those of the healthy volunteer, indicating significant recovery. The study highlights the effectiveness of robotic-assisted therapy in tracking complex trajectories and demonstrates the value of kinematic and EMG-based metrics for evaluating motor recovery and muscle activation. This approach provides objective insights into rehabilitation progress, offering a robust alternative to subjective assessments.