Husamuldeen K. Hameed
Papers
7
Total Citations
69
H-Index
5
About
Husamuldeen K. Hameed is a leading researcher in assistive robotics and biomedical signal processing, with a primary focus on developing intuitive, muscle-controlled robotic devices for rehabilitation. His work centers on surface electromyography (sEMG) signals to control soft robotic gloves and hand exoskeletons, aiming to restore hand function for individuals affected by stroke, arthritis, and spinal cord injuries. Hameed’s major contribution is the creation of an amplitude-independent muscle activity detection algorithm based on adaptive zero-crossing techniques and mean instantaneous frequency, which overcomes the critical problem of signal amplitude variation that plagues conventional controllers. This innovation, detailed in his most-cited paper (33 citations) and subsequent studies, makes prosthetic and orthotic devices more reliable and practical for daily use. His research has demonstrated the feasibility of using a single sEMG channel to control soft robotic gloves, simplifying device design while maintaining robust performance. With over 60 total citations across his publications, Hameed’s work bridges the gap between laboratory prototypes and real-world assistive technologies, offering hope for more accessible, home-based rehabilitation solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7