Xiangxiang Fu

Papers

Total Citations

H-Index

About

Xiangxiang Fu is a pioneering researcher at the intersection of neural engineering and rehabilitation robotics, with a primary focus on brain-computer interface (BCI) systems for spinal cord injury (SCI) recovery. Her most impactful work, a 2022 pilot study on BCI-controlled lower-limb robots, has garnered 29 citations and demonstrates that short-term training can significantly improve motor function in SCI patients—a breakthrough for clinical feasibility. Fu’s foundational 2021 paper introduced the concept of “full-cycle active rehabilitation” for patients with muscle strength level 0, enabling those with complete paralysis to initiate movement through brain signals alone. This innovation addresses the critical requirement of active patient participation in therapy, even when no voluntary muscle activity exists. By integrating real-time neural decoding with robotic exoskeletons, Fu has created a closed-loop system that bridges intention and action, offering hope for neuroplasticity-driven recovery. Her work not only advances BCI technology but also redefines rehabilitation paradigms, proving that even severely impaired patients can engage in meaningful, self-directed training. With growing citation impact and a clear translational trajectory, Fu is establishing herself as a key voice in non-invasive neural interfaces for motor restoration.