Yu‐Wei Su

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About

Yu-Wei Su is a rising researcher at the intersection of neural engineering and pediatric rehabilitation, whose work focuses on leveraging brain-computer interfaces (BCIs) and motor imagery to restore motor function in children with neurological impairments. Her most-cited study, "Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI" (2025, 4 citations), provides a foundational theoretical basis for applying motor imagery-based BCIs in clinical rehabilitation. By employing EEG microstate and functional connectivity analysis, Su’s research uniquely compares brain activity under MI-BCI, motor imagery, and resting paradigms, revealing how cortical excitability can be modulated to enhance neuroplasticity in children with cerebral palsy. This work bridges the gap between non-invasive neural decoding and practical robotic training systems, offering a promising pathway for personalized, closed-loop rehabilitation therapies. Though early in her career, Su’s contributions are already shaping how researchers understand and harness brain dynamics for pediatric motor recovery, positioning her as an emerging voice in the field of neurorehabilitation engineering.