Stroke Rehab: Robotics & Clinical Measures.pdf

- Purpose: To analyze correlations between four clinical measures and four robotic measures for assessing motor recovery in stroke patients.
- Methods: Data from nine stroke patients who underwent a hybrid robotic and traditional upper extremity rehabilitation program were analyzed. The study compared four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) with four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed).
- Findings: Smoothness of movement and trajectory error, which are temporally and spatially normalized measures of movement quality, showed significant moderate to strong correlations with all four clinical measures. This suggests that these robotic measures could effectively compare rehabilitation outcomes, track patient progress, enable therapy adaptation, and provide immediate feedback.
- Implications: The strong correlations indicate that smoothness of movement and trajectory error could be used to design a unified set of robotic measures for evaluating motor function recovery in stroke patients, improving tracking of patient motor function improvement, and comparing the effectiveness of different rehabilitation protocols and devices.