Javier M. Antelis
Papers
13
Total Citations
351
H-Index
7
About
Javier M. Antelis is a prominent researcher at the intersection of brain-computer interfaces (BCIs), neural engineering, and rehabilitation robotics, whose work has fundamentally advanced how human brain signals can be harnessed to control external devices and support motor recovery. His most celebrated contribution — a P300-based telepresence system enabling users to navigate mobile robots through thought alone via the internet — has garnered over 126 citations and established him as a leading voice in non-invasive BCI-driven robotics. Equally significant is his work decoding upper limb movement intention from EEG signals in chronic stroke patients, particularly his innovative use of the contralesional motor cortex as a viable signal source when lesioned regions are unavailable, work that has shaped modern neurorehabilitation strategies with over 70 citations. Antelis has also made meaningful contributions to assistive technology for individuals with amyotrophic lateral sclerosis, developing robotic hand-orthosis systems controlled via brain signals. Across more than a decade of research, his investigations into motor intention detection, functional brain connectivity, and self-paced movement recognition have collectively built a rigorous scientific foundation for next-generation neuroprosthetics and rehabilitation devices that meaningfully improve patient quality of life.
Research Focus
Key Achievements
Top Papers
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- 3Human brain-teleoperated robot between remote places35 citations · 2009
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