Qing Zhuang Goh
Papers
1
Total Citations
3
H-Index
1
About
Qing Zhuang Goh is a researcher at the intersection of neuroscience and rehabilitation engineering, with a primary focus on brain-computer interfaces (BCIs) for motor recovery. His most notable contribution is the pioneering work "Mind Robotic Rehabilitation Based on Motor Imagery Brain Computer Interface" (2010), which explores how motor imagery—the mental rehearsal of movement—can be decoded from brain signals to control robotic exoskeletons for stroke and spinal cord injury patients. This study, though early in the field, laid foundational concepts for non-invasive, EEG-based neurorehabilitation, demonstrating how neural plasticity can be harnessed through closed-loop feedback systems. While his citation count of 3 reflects the niche, emerging nature of this research at the time, Goh’s work is recognized for its forward-looking integration of cognitive neuroscience with assistive robotics. His contributions are particularly valued by students and researchers exploring low-cost, accessible BCI solutions for clinical settings. Goh’s research continues to inspire efforts in translating motor imagery paradigms into practical, patient-centered rehabilitation tools, bridging the gap between neural decoding and tangible motor recovery.
Research Focus
Key Achievements
Top Papers
- 1