Kasper Leerskov
Papers
6
Total Citations
50
H-Index
4
About
Kasper Leerskov is a pioneering researcher at the intersection of brain-computer interfaces (BCIs), assistive robotics, and neurorehabilitation. His work focuses on developing intuitive control systems for individuals with severe motor impairments, particularly those with tetraplegia or stroke-induced paralysis. Leerskov’s major contributions include demonstrating the feasibility of decoding covert speech from single-trial EEG for BCI control, and designing a steady-state visually evoked potential (SSVEP)-based BCI for controlling assistive robotic manipulators. More recently, he has developed hybrid rehabilitation systems that combine robotics with functional electrical stimulation (FES) and BCIs, using an assist-as-needed approach to support leg movements in bedridden stroke patients. His most cited paper (17 citations) explores covert speech decoding for intuitive BCI control, while his 2024 feasibility study on combining robotics and FES for stroke rehabilitation (7 citations) represents a significant step toward early, intensive rehabilitation for severely affected patients. Leerskov’s innovative hybrid systems, including the ROBERT®-based platform, are designed to enable exercise even while patients remain bedbound, addressing a critical gap in early stroke rehabilitation.
Research Focus
Key Achievements
Top Papers
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