Signe K.D. Engelsholm
Papers
1
Total Citations
11
H-Index
1
About
Signe K.D. Engelsholm is a researcher whose work bridges neuroscience and assistive technology, with a primary focus on brain-computer interfaces (BCIs) for real-world applications. Her key research areas include neural signal processing, visual evoked potentials, and the development of practical BCI systems for mobility assistance. In her most cited work, a 2015 pilot study, Engelsholm pioneered a novel BCI-based wheelchair control system using pseudorandom code modulated Visual Evoked Potentials (c-VEPs). By leveraging Gold code sequences for visual stimuli generation, she demonstrated a robust and minimalistic approach to hands-free wheelchair navigation, achieving 11 citations as a foundational contribution to the field. This work stands out for its innovative use of code-modulated VEPs to enhance system reliability and user experience, addressing critical challenges in real-time BCI control. Engelsholm’s research has significant implications for improving the quality of life for individuals with severe motor disabilities, showcasing her commitment to translating complex neural engineering concepts into tangible assistive technologies. Her contributions continue to inspire advancements in non-invasive BCI systems and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1