Angeliki Beyko
Papers
1
Total Citations
7
H-Index
1
About
Angeliki Beyko is a leading researcher in the field of brain-computer interfaces (BCIs) and neuroprosthetics, with a specific focus on noninvasive neural control systems. Her most notable work, "Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks," published in 2020, has garnered significant attention with 7 citations, marking a key contribution to the development of practical, noninvasive solutions for assistive robotics. Beyko’s research centers on translating electroencephalogram (EEG) signals into precise motor commands, enabling individuals with motor impairments to perform complex tasks like reaching and grasping through thought alone. Her work addresses critical challenges in signal processing and real-time control, advancing the feasibility of EEG-driven prosthetics without the need for invasive surgery. Beyko’s contributions have been recognized through her role in correcting and refining the scientific record, as evidenced by the author correction to her seminal paper, underscoring her commitment to rigorous, impactful science. Her research holds promise for revolutionizing rehabilitation and assistive technologies, making her a rising figure in neuroengineering.
Research Focus
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Top Papers
- 1