Yiqing Lu
Papers
1
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1
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1
About
Yiqing Lu is a rising researcher in neural rehabilitation engineering, with a focus on brain-computer interfaces (BCIs) and motor recovery after stroke. Their pilot study on motor imagery-based BCI training combined with robotic hand assistance for upper limb rehabilitation in ischemic stroke patients marks a significant early contribution to the field. This work explores how neural activity changes during BCI training can serve as biomarkers for recovery, bridging the gap between neurophysiological signals and practical rehabilitation outcomes. Though early in their career, Lu’s research addresses a critical need for non-invasive, patient-specific therapies that enhance neuroplasticity. By integrating real-time EEG feedback with robotic support, they are pioneering approaches that could transform post-stroke motor rehabilitation. Their work has already garnered attention for its translational potential, laying the groundwork for larger clinical trials. Lu’s dedication to merging neuroscience with assistive technology positions them as an emerging leader in neurorehabilitation, with future studies likely to refine these interventions for broader clinical use.
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