Natalia Zaygraykin
Papers
2
Total Citations
9
H-Index
2
About
Natalia Zaygraykin is a rising researcher in the field of robotic neurorehabilitation, with a focused interest in motor recovery following stroke. Her work centers on the innovative application of Error Augmentation (EA) training, a technique that uses robotic interfaces to enhance proprioceptive feedback and challenge patients to optimize their performance during therapy. In her highly cited 2023 study, “Robotically driven Error Augmentation training enhances post‐stroke arm motor recovery,” Zaygraykin demonstrated that EA training can significantly improve upper-limb motor outcomes in stroke survivors. With her papers accumulating citations and her research addressing the growing need for effective rehabilitation in an aging population, Zaygraykin’s contributions are paving the way for more engaging and effective robotic therapies. Her work not only advances our understanding of motor learning but also offers a promising, technology-driven path to restoring function and independence for individuals living with post-stroke disability.
Research Focus
Key Achievements
Top Papers
- 1
- 2