David Castillo-Salazar

Papers

Total Citations

H-Index

About

David Castillo-Salazar is a researcher at the forefront of brain-computer interfaces (BCIs) and assistive robotics, with a focus on restoring motor function for individuals with limb loss or paralysis. His most-cited work, "Control of an Arm-Hand Prosthesis by Mental Commands and Blinking" (2019), demonstrates a pioneering approach to non-invasive prosthetic control. By integrating electroencephalography (EEG) for mental commands with electrooculography (EOG) for blink detection, Castillo-Salazar developed a hybrid BCI system that allows users to intuitively operate a robotic arm and hand. This dual-modality method significantly enhances the precision and responsiveness of prosthetic devices, addressing a critical challenge in assistive technology. While his citation count is still growing, the work’s novelty lies in its practical, real-time application of cognitive and ocular signals, bridging the gap between neural decoding and functional movement. Castillo-Salazar’s contributions are particularly impactful for the development of low-cost, accessible prosthetics, offering a scalable solution for patients in resource-limited settings. His research continues to push the boundaries of human-machine interaction, aiming to make intuitive, thought-controlled prosthetics a clinical reality.