Si Lun Peng

China Electronics Technology Group Corporation

Papers

Total Citations

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About

Si Lun Peng has made pioneering contributions at the intersection of brain-computer interfaces and rehabilitation robotics, with a primary focus on restoring motor function for stroke survivors. His key research areas include motor imagery electroencephalography (EEG), robot-assisted therapy, and neurorehabilitation engineering. Peng’s most impactful work, "Robot-Aided Upper-Limb Rehabilitation Based on Motor Imagery EEG" (2011, 39 citations), introduced a novel system that translates patients’ imagined movements into real robotic assistance, enabling more engaging and effective upper-limb training. This approach addresses a critical gap in traditional rehabilitation by leveraging neural signals to drive recovery. His related study, "Upper-limb Rehabilitation Robot Based on Motor Imagery EEG" (2011, 10 citations), further refined the integration of EEG decoding with robotic actuation. Despite the modest citation counts, these early works laid foundational principles for closed-loop, brain-driven rehabilitation—a field that has since grown exponentially. Peng’s research demonstrates how combining neuroscience and robotics can create adaptive therapies that actively involve patients’ neural plasticity, offering hope for improved motor recovery after stroke. His contributions remain influential for researchers developing next-generation assistive technologies.