Papers
1
Total Citations
4
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1
About
Yoo Jung Lee is a researcher whose work lies at the intersection of brain-computer interfaces (BCI) and rehabilitation robotics, with a focus on decoding motor intent from neural signals. Her most-cited paper, "An application of common spatial pattern algorithm for accuracy improvement in classification of cortical activation pattern according to finger movement" (2015, 4 citations), addresses a critical challenge in BCI-driven rehabilitation: improving the precision of motor classification. In this study, Lee applied the Common Spatial Pattern (CSP) algorithm to enhance the accuracy of classifying finger movements from EEG data, directly contributing to the development of upper limb rehabilitation robot systems. By involving four subjects in experiments that examined four distinct movement types, she demonstrated how advanced signal processing can refine neural decoding for prosthetic and robotic control. Her work bridges computational neuroscience and practical assistive technology, offering a pathway toward more responsive, brain-controlled rehabilitation devices. Though early in her citation impact, Lee’s contributions are foundational for researchers exploring non-invasive BCI applications in motor recovery, highlighting her role in advancing human-robot interaction through neural engineering.
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