Papers
2
Total Citations
52
H-Index
2
About
Leying Deng is a leading researcher in the field of brain-computer interfaces (BCIs), with a focused expertise on decoding complex hand movements from noninvasive electroencephalogram (EEG) signals. Her major contributions center on advancing the precision and naturalness of neuroprosthesis control, directly addressing a critical bottleneck in assistive technology. Deng’s seminal 2021 work, "Decoding Hand Movement Types and Kinematic Information From Electroencephalogram" (30 citations), pioneered methods for extracting both movement type and continuous kinematic parameters from EEG, moving beyond simple classification. Her companion study, "Decoding Different Reach-and-Grasp Movements Using Noninvasive Electroencephalogram" (22 citations), further demonstrated the feasibility of decoding the intricate, multi-joint actions required for grasping—a fundamental human function. By proving that noninvasive EEG can capture the nuanced neural signatures of reach-and-grasp actions, Deng’s research has laid essential groundwork for intuitive, natural control of robotic arms and neuroprostheses, offering transformative potential for restoring hand function in patients with motor impairments. Her work stands as a cornerstone in the pursuit of practical, high-performance noninvasive BCIs.
Research Focus
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Top Papers
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