Moch Nurul Subkhi
Papers
1
Total Citations
7
H-Index
1
About
Moch Nurul Subkhi is a researcher specializing in biomedical signal processing and human-machine interfaces, with a particular focus on Electrooculogram (EOG) systems. His most cited work, "Design and Experiment of Electrooculogram (EOG) System and Its Application to Control Mobile Robot" (2017), has garnered 7 citations and represents a significant contribution to assistive technology. In this study, Subkhi designed a novel EOG detection system employing a sophisticated four-stage instrumentation amplifier architecture, including a differential instrumentation amplifier, a three-stage High Pass Filter, and a Low Pass Filter. This system successfully translates eye movement signals into commands for mobile robot control, demonstrating practical applications for individuals with severe motor disabilities. Subkhi's work bridges the gap between biological signal acquisition and real-world robotic control, offering a non-invasive, cost-effective solution for human-machine interaction. His research contributes to the growing field of biosignal-based control systems, with potential implications for rehabilitation engineering and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1