Houda Barbouch
Papers
1
Total Citations
4
H-Index
1
About
Houda Barbouch is a researcher whose work lies at the intersection of rehabilitation engineering and advanced control systems, with a primary focus on restoring motor function for individuals with upper-limb impairments. Her most-cited paper, "Feedback Error Learning with Sliding Mode Control for Functional Electrical Stimulation: Elbow Joint Simulation" (2019), addresses a critical challenge in neurorehabilitation: enabling precise, adaptive control of functional electrical stimulation (FES) to assist stroke survivors with reaching and grasping movements. By integrating feedback error learning with sliding mode control, Barbouch’s simulation work demonstrates a novel approach to improving the robustness and accuracy of FES-driven joint movement—a contribution that has garnered 4 citations and laid groundwork for more responsive assistive technologies. Her research is motivated by the profound impact of upper-limb motor impairment on daily living, and she is dedicated to bridging the gap between theoretical control methods and practical rehabilitation solutions. Barbouch’s work is notable for its potential to enhance the quality of life for individuals with neurological injuries, positioning her as an emerging voice in the field of neuroprosthetics and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1