GU Jian-xiong

Papers

Total Citations

101

H-Index

About

Dr. Gu Jian-xiong is a leading figure in neural rehabilitation engineering, whose work bridges brain-computer interfaces (BCI) and soft robotics to restore motor function after stroke. His most influential contribution is the development of a groundbreaking SSVEP-based BCI-controlled soft robotic glove for post-stroke hand rehabilitation, a paper that has garnered over 100 citations since 2022. This work addresses a critical gap: while motor imagery (MI)-based BCIs paired with robotic aids have proven effective, practical, user-friendly systems remain scarce. Dr. Gu’s innovation integrates steady-state visual evoked potentials (SSVEP) with a lightweight, compliant glove, enabling more intuitive and reliable control than traditional MI approaches. His research demonstrates that such hybrid systems can significantly improve neural plasticity and hand function recovery, offering a non-invasive, accessible solution for stroke survivors. By combining cutting-edge BCI algorithms with soft robotics, Dr. Gu has advanced both the theoretical understanding of neurorehabilitation and the practical design of wearable assistive devices. His work is widely cited in rehabilitation engineering and human-machine interaction, establishing him as a key contributor to the next generation of patient-centered neural prosthetics.