R.S. Sandesh
Papers
1
Total Citations
3
H-Index
1
About
R.S. Sandesh is a researcher specializing in brain-computer interfaces (BCIs), biomedical signal processing, and assistive robotics. Their most notable contribution is the development of a steady-state visual evoked potential (SSVEP)-based BCI system for controlling a five-digit robotic hand using LabVIEW, a low-cost, real-time platform. This work, published in 2022, demonstrates how SSVEP signals—elicited by flickering visual stimuli—can be decoded to enable precise, multi-fingered prosthetic control, offering a practical solution for individuals with motor impairments. The system integrates Ag/AgCl electrodes with a rechargeable EEG amplifier and a custom simulation panel, emphasizing affordability and accessibility. With 3 citations to date, this paper has laid groundwork for future BCI-driven rehabilitation technologies. Sandesh’s research bridges neuroscience and engineering, focusing on translating neural signals into tangible robotic actions. Their work is particularly impactful for students and researchers exploring non-invasive BCIs, low-cost hardware design, and human-robot interaction, highlighting a path toward more intuitive and inclusive assistive devices.
Research Focus
Key Achievements
Top Papers
- 1