Oxana Zalesov
Papers
2
Total Citations
9
H-Index
2
About
Oxana Zalesov is a rising figure in neurorehabilitation engineering, with a focused research program on robotic interventions for post-stroke motor recovery. Her work centers on the innovative application of Error Augmentation (EA) training, a technique that uses robotic interfaces to deliberately amplify movement errors during therapy. By enhancing proprioceptive feedback, this approach challenges patients to recalibrate their motor commands, thereby driving neural plasticity and functional recovery. Zalesov’s most cited paper, “Robotically driven Error Augmentation training enhances post‐stroke arm motor recovery” (2023, 6 citations), along with its companion study (3 citations), provides compelling evidence that EA training can significantly improve arm motor outcomes in chronic stroke survivors. These contributions are particularly timely given the rising global burden of stroke-related disability due to population aging. Zalesov’s work not only advances the mechanistic understanding of error-based motor learning but also offers a practical, scalable tool for clinical rehabilitation. Her research stands at the intersection of robotics, neuroscience, and physical therapy, promising to transform how we restore movement after neurological injury.
Research Focus
Key Achievements
Top Papers
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