Andrew Paek
Papers
4
Total Citations
60
H-Index
3
About
Andrew Paek is a leading researcher in the field of noninvasive brain-machine interfaces (BMI), with a focus on restoring motor function for individuals with paralysis or amputation. His work centers on decoding neural signals from scalp electroencephalography (EEG) to enable intuitive control of robotic prosthetics and assistive devices. In his highly cited 2012 article, Paek outlined a roadmap for whole-body movement restoration via noninvasive EEG-based systems, demonstrating how simple motor intentions can be translated into device commands. He further advanced the field by developing regression-based methods to reconstruct grip force trajectories directly from EEG signals, a breakthrough that allows for more natural and precise control of robotic hands. Paek also pioneered the reconstruction of surface electromyography (sEMG) from EEG during closed-loop prosthetic control, bridging the gap between brain signals and muscle activity. His contributions have garnered over 60 citations, reflecting their impact on neurorehabilitation. Notably, Paek co-authored a clinical roadmap for brain-neural machine interfaces, offering trainee perspectives from the 2013 International Workshop, underscoring his commitment to translating laboratory innovations into real-world clinical solutions.
Research Focus
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Top Papers
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