Muhamad Azahar Abas
Papers
1
Total Citations
9
H-Index
1
About
Muhamad Azahar Abas is a researcher at the forefront of rehabilitation robotics and human–machine interaction. His primary focus lies in the development of intelligent exoskeleton systems, with a particular emphasis on restoring hand function for stroke survivors. Abas’s most cited work, "Electromyography Assessment of Forearm Muscles: Towards the Control of Exoskeleton Hand," has garnered 9 citations and stands as a foundational contribution to the field. In this study, he systematically analyzed electromyography (EMG) signals from the forearm, establishing a critical framework for using muscle activity to intuitively control wearable robotic hands. This research directly addresses the vulnerability of hand function post-stroke, offering a pathway to more responsive and naturalistic assistive devices. By bridging the gap between physiological signals and mechanical actuation, Abas’s work is helping to shape the next generation of neurorehabilitation tools. His contributions are essential for students and researchers aiming to advance non-invasive, EMG-driven control strategies for exoskeletons, ultimately improving the quality of life for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1