Peijin Yang

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About

Peijin Yang is a leading researcher at the intersection of neural engineering and rehabilitation robotics, with a primary focus on brain-computer interface (BCI) systems for restoring motor function in patients with neurological injuries. Yang’s most cited work, a 2022 pilot study, demonstrated that a BCI-controlled lower-limb robot can significantly improve rehabilitation outcomes in spinal cord injury patients through short-term training, earning 29 citations for its pioneering approach. This contribution highlights Yang’s core innovation: integrating real-time neural decoding with robotic exoskeletons to facilitate neuroplasticity and functional recovery. By showing that even brief, targeted BCI training can yield measurable gains in mobility, Yang has opened new avenues for accessible, cost-effective neurorehabilitation. Beyond this flagship study, Yang’s research portfolio explores adaptive algorithms for BCI signal processing and user-specific calibration, aiming to make these systems more intuitive and robust for clinical use. With a growing citation impact and a clear translational focus, Peijin Yang is shaping the future of assistive technology, offering hope to individuals with severe motor impairments and advancing the practical deployment of BCI-driven therapies.