Ronit Givon-Mayo
Papers
1
Total Citations
14
H-Index
1
About
Ronit Givon-Mayo is a researcher focused on the intersection of rehabilitation engineering and motor learning, with a particular emphasis on stroke recovery. Her work explores how robotic systems can enhance upper limb function by targeting the temporal and spatial coordination deficits that plague patients’ reaching movements. In her most cited study, “A preliminary investigation of error enhancement of the velocity component in stroke patients’ reaching movements” (2014, 14 citations), she introduced a novel robot-assisted rehabilitation method that deliberately amplifies movement errors in the velocity domain. This approach challenges conventional therapy by leveraging error-driven learning to recalibrate motor control, offering a promising pathway for restoring everyday functional tasks. While her citation count reflects the early-stage nature of this work, its conceptual innovation has laid groundwork for subsequent studies in error-augmentation paradigms. Givon-Mayo’s contributions are particularly valuable for students and researchers exploring how technology can transform neurorehabilitation, bridging the gap between biomechanical analysis and practical, patient-centered interventions. Her research underscores a commitment to rigorous, hypothesis-driven inquiry that pushes the boundaries of traditional therapy.
Research Focus
Key Achievements
Top Papers
- 1