Zainab Faydh Mohammed
Papers
1
Total Citations
6
H-Index
1
About
Zainab Faydh Mohammed is a researcher in biomedical engineering and human–machine interaction, with a focus on assistive robotics and biosignal processing. Her most-cited work, “Artificial Human Arm Driven by EMG Signal” (2012, 6 citations), introduces a method for controlling a robotic arm using surface electromyography (EMG) signals recorded from the user’s muscles. By decoding muscular activity into kinematic variables, her approach enables intuitive, real-time control of prosthetic or robotic limbs—an important step toward more natural and responsive assistive devices. This contribution sits at the intersection of rehabilitation engineering and neural control, offering a practical framework for developing EMG-driven prosthetics that respond directly to a user’s intended movement. Mohammed’s work is particularly relevant for researchers and students interested in non-invasive brain–computer interfaces, wearable robotics, and the translation of physiological signals into machine commands. While her citation count reflects the early-stage nature of this research area, her study provides a foundational proof-of-concept that continues to inform efforts in low-cost, EMG-based prosthetic control systems.
Research Focus
Key Achievements
Top Papers
- 1Artificial Human Arm Driven by EMG Signal6 citations · 2012