Christopher KUAH

Tan Tock Seng Hospital

Papers

2

Total Citations

245

H-Index

2

About

Christopher Kuah is a leading researcher in neurorehabilitation engineering, with a primary focus on brain-computer interfaces (BCIs) and robotic systems for stroke recovery. His most impactful work is a landmark 2010 clinical study (234 citations) that demonstrated the feasibility of using EEG-based motor imagery BCIs combined with robotic feedback to improve upper-limb function in hemiparetic stroke patients. This pioneering research provided crucial evidence that stroke survivors could operate a BCI to control a robotic orthosis, leading to measurable motor improvements. Kuah’s work bridges the gap between neural decoding and practical rehabilitation, showing how closed-loop systems can promote neuroplasticity. He also contributed to quantitative motor assessment using the H-Man planar robot, establishing baseline performance metrics for stroke patients during reaching tasks. By integrating EEG signals with robotic therapy, Kuah has helped lay the foundation for next-generation, patient-responsive neurorehabilitation technologies that adapt to individual neural activity, offering new hope for restoring motor function after neurological injury.

Research Focus

Key Achievements

2
H-Index
2
Papers
245
Total Citations
123
Avg Citations/Paper
🏆 Most Cited Paper
Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback
234 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Tan Tock Seng Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago