Papers
17
Total Citations
2,101
H-Index
13
About
Kok Soon Phua is a pioneering researcher at the intersection of neurotechnology and stroke rehabilitation, with a career dedicated to developing and validating brain-computer interface (BCI) systems that restore motor function in stroke survivors. His work focuses on EEG-based motor imagery BCIs, robotic feedback systems, and neuroplasticity-driven rehabilitation strategies, establishing him as a leading voice in clinical neurorehabilitation engineering. Phua's most influential contributions include landmark randomized controlled trials demonstrating that motor imagery BCIs coupled with robotic systems — including the MIT-Manus, Haptic Knob robot, and soft robotic gloves — produce measurable motor recovery in chronic stroke patients. His 2014 trials alone have garnered over 880 combined citations, reflecting their foundational role in the field. He has further explored how transcranial direct current stimulation (tDCS) can amplify BCI-driven rehabilitation outcomes, and used resting-state fMRI to identify functional connectivity changes that predict recovery trajectories. Across more than a decade of research, from early feasibility studies in 2009 to refined clinical investigations in 2020, Phua has consistently bridged laboratory innovation and clinical application. With over 2,000 cumulative citations, his body of work has profoundly shaped how the rehabilitation community understands and applies neurotechnology to stroke recovery.
Research Focus
Key Achievements
Top Papers
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- 6Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke153 citations · 2020
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