Rasha Mansour
Papers
2
Total Citations
9
H-Index
2
About
Rasha Mansour is a rising researcher in the field of neurorehabilitation, focusing on the intersection of robotics and motor recovery after stroke. Her work centers on a novel therapeutic approach called Error Augmentation training, which uses robotic interfaces to enhance proprioceptive feedback, challenging patients to optimize their performance during rehabilitation. In her most-cited 2023 study, Mansour demonstrated that robotically driven Error Augmentation training significantly improves arm motor recovery in post-stroke patients, offering a promising alternative to conventional therapy. This research, which has already garnered over 9 citations, addresses the critical need for effective rehabilitation strategies in an aging global population increasingly affected by stroke. By leveraging robotic technology to amplify movement errors, Mansour’s work not only motivates patients but also accelerates neural adaptation and motor learning. Her contributions are paving the way for more engaging, data-driven physical therapy protocols, positioning her as an emerging voice in the field of robot-assisted neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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