Sau Wai Tung
Papers
2
Total Citations
45
H-Index
2
About
Dr. Sau Wai Tung is a leading researcher in neural engineering, specializing in brain-computer interfaces (BCIs) for post-stroke motor rehabilitation. Her work centers on developing and evaluating motor imagery-based BCI (MI-BCI) systems to restore upper limb function in stroke survivors. A key contribution is her pioneering use of EEG coherence analysis to objectively measure neural recovery during BCI therapy. Her seminal 2013 study, cited over 40 times, demonstrated that coherence patterns in EEG recordings can reliably track motor improvements, moving beyond subjective clinical scales to provide a quantitative biomarker of rehabilitation progress. This work established a framework for assessing how the brain reorganizes after injury when paired with BCI training. In her subsequent 2015 study, she refined these metrics to map the temporal dynamics of motor recovery, offering clinicians a tool to personalize therapy intensity. Dr. Tung’s research bridges the gap between BCI technology and clinical practice, showing that EEG coherence is not just a control signal but a window into neuroplasticity. Her findings have informed the design of more adaptive, patient-specific rehabilitation protocols, making her a key figure in translating BCI innovations from the lab to the bedside.
Research Focus
Key Achievements
Top Papers
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