Papers
12
Total Citations
679
H-Index
10
About
Effie Chew is a leading figure in neurorehabilitation, whose work sits at the intersection of robotics, brain-computer interfaces (BCIs), and non-invasive brain stimulation. Her research is driven by a singular goal: to restore motor function after stroke. She has pioneered the integration of motor imagery BCIs with robotic feedback and transcranial direct current stimulation (tDCS), demonstrating that this combined approach can significantly enhance neuroplasticity and recovery. Her highly cited 2014 paper on neural network control of rehabilitation robots (253 citations) laid the groundwork for intelligent, interactive therapy systems. Chew’s impact extends from the lab to the clinic; she has led pragmatic, multicentre implementation programmes evaluating overground robotic exoskeletons in real-world inpatient settings and conducted rigorous cost-effectiveness analyses from a health system perspective. Her work on portable knee-ankle-foot robots aims to democratize rehabilitation, moving it from hospitals to home settings. With a portfolio of papers that collectively amass hundreds of citations, Chew is not just advancing technology—she is reshaping the standard of care for millions of stroke survivors worldwide.
Research Focus
Key Achievements
Top Papers
- 1Neural Network Control of a Rehabilitation Robot by State and Output Feedback253 citations · 2014
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- 3Is Motor‐Imagery Brain‐Computer Interface Feasible in Stroke Rehabilitation?95 citations · 2014
- 4Mechanical design of a portable knee-ankle-foot robot46 citations · 2013
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- 7Impedance Control of a Rehabilitation Robot for Interactive Training15 citations · 2012
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- 9Advances in rehabilitation medicine13 citations · 2013
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