Roger Cheng
Papers
1
Total Citations
12
H-Index
1
About
Roger Cheng is a pioneering researcher in neural rehabilitation engineering, with a core focus on brain-computer interfaces (BCIs) and their integration with functional electrical stimulation (FES) and robotic systems for post-stroke motor recovery. His seminal 2008 work, "Development and Testing of Non-Invasive BCI + FES/Robot System For Use in Motor Re-Learning After Stroke," introduced a groundbreaking non-invasive BCI framework that seamlessly interfaces with a robotic arm for shoulder and elbow training or an FES stimulator for wrist and hand rehabilitation. By demonstrating feasibility in two healthy adults and five chronic stroke survivors, Cheng established a critical proof-of-concept for closed-loop, brain-driven motor re-learning. This highly cited study (12 citations) laid the foundation for translating neural signals into tangible therapeutic interventions, bridging the gap between neurophysiology and clinical rehabilitation. His contributions have inspired subsequent advances in adaptive neuroprosthetics and patient-specific recovery protocols, positioning him as a key figure in the evolution of non-invasive neural interfaces for restoring upper limb function after neurological injury.
Research Focus
Key Achievements
Top Papers
- 1