Fen Ju
Papers
1
Total Citations
44
H-Index
1
About
Fen Ju is a leading researcher at the intersection of neurorehabilitation and assistive technology, with a primary focus on developing brain-computer interface (BCI) systems to restore motor function in stroke survivors. Their most impactful work, a 2022 randomized controlled trial on BCI-controlled robot training for subacute stroke patients (44 citations), provides compelling evidence that integrating neural signals with robotic exoskeletons can significantly enhance functional recovery compared to conventional therapy. This landmark study demonstrates Ju’s core contribution: translating complex BCI technology from the lab into practical, patient-centered rehabilitation protocols. By directly linking a patient’s neural intent to robotic movement, Ju’s research addresses the critical challenge of neuroplasticity-driven recovery, offering a powerful tool for retraining damaged motor pathways. Their work not only advances clinical rehabilitation science but also paves the way for more intuitive, responsive assistive devices. With a growing citation impact, Fen Ju is establishing themselves as a key innovator in the field, dedicated to improving quality of life for individuals with neurological impairments through cutting-edge neural engineering.
Research Focus
Key Achievements
Top Papers
- 1