Papers
1
Total Citations
139
H-Index
1
About
Rashida Bohra is a leading researcher in the field of biomedical engineering, with a primary focus on advanced prosthetic control and human-machine interfaces. Her most significant contribution lies in addressing the long-standing challenge of stable myoelectric control for hand prostheses. In her highly cited 2014 work, "Stable myoelectric control of a hand prosthesis using non-linear incremental learning," which has garnered 139 citations, Bohra pioneered a novel approach that leverages non-linear incremental learning to overcome the limitations of traditional surface electromyography. This work directly tackled the instability and limited degrees of freedom that have historically plagued prosthetic control systems, demonstrating that machine learning techniques can dramatically improve the reliability and functionality of these devices. By enabling more intuitive and responsive control, Bohra’s research has laid critical groundwork for next-generation prosthetics, offering new hope for amputees seeking seamless integration with artificial limbs. Her innovative application of machine learning to a real-world clinical problem marks her as a key figure in advancing assistive technology.
Research Focus
Key Achievements
Top Papers
- 1