Papers
30
Total Citations
3,076
H-Index
19
About
Cuntai Guan is a distinguished researcher whose work sits at the intersection of brain-computer interfaces (BCI), neurorehabilitation, and human-robot interaction. His research has fundamentally advanced the use of EEG-based motor imagery BCI systems to restore motor function in stroke patients, pioneering approaches that couple neural signals with robotic feedback to drive activity-dependent brain plasticity. Through a series of rigorously designed randomized controlled trials, Guan has demonstrated the clinical efficacy of BCI-assisted robotic rehabilitation for upper limb recovery, with landmark studies attracting over 500 and 350 citations respectively. His investigations span multiple robotic platforms — from MIT-Manus and Haptic Knob systems to soft robotic gloves — and extend to complementary techniques such as transcranial direct current stimulation and resting-state fMRI biomarkers for predicting rehabilitation outcomes. Beyond stroke recovery, Guan has made significant contributions to EMG-based motion prediction for human-robot collaboration, garnering nearly 400 citations. His 2024 review of non-invasive BCI trends underscores his sustained influence in shaping the field's direction. With a body of work exceeding 2,500 citations across his most impactful papers alone, Guan stands as a leading authority in translational neurotechnology and clinical BCI research.
Research Focus
Key Achievements
Top Papers
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- 7Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke153 citations · 2020
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- 9Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke146 citations · 2015
- 10Non-Invasive Brain-Computer Interfaces: State of the Art and Trends129 citations · 2024